What is data merging in Excel?
Imagine having hundreds of customer records stored in different sheets or files. Trying to compile them into one place sounds overwhelming. Yet, data merging in Excel does precisely that.
With Excel, bringing together data doesn’t have to be complicated—it can be easy. Data merging in Excel allows you to bring everything together in a way that’s simple, powerful, and accessible. You can match, combine, and manage data efficiently without specialized software.
Think of it as pulling together valuable pieces of information to create a complete picture. With Excel’s merging tools, this process becomes seamless. Whether using the “VLOOKUP” function or Power Query, Excel offers flexibility to suit different data needs.
In today’s fast-paced environment, organizing and merging data correctly can save countless hours. Businesses want precise insights – Excel’s data merging helps cut through information silos, turning scattered data into something useful. This means faster access to insights, easier reporting, and more reliable data.
Data merging in Excel is practical for both beginners and professionals. After mastering it, your workflow will feel smoother, and your reports will be more cohesive.
First…
Definition: Data merging in Excel is the process of combining information from multiple sources into a single, unified view. It’s especially helpful when data is spread across different sheets or files.
Excel provides tools like VLOOKUP, INDEX-MATCH, and Power Query to make data merging easy. It saves time, improves organization, and makes data analysis simpler. From customer lists to sales figures, merging ensures all information is in one place, ready for clear and accurate insights.
Data merging in Excel offers several methods designed to bring scattered information into a cohesive view. Here are some of the key ways to do it:
Here’s a quick guide to merging multiple Excel files into one:
Merging tables with formulas in Excel is like connecting dots—each data piece joins to create a bigger picture. Here’s how you can do it with two powerful formulas:
VLOOKUP is perfect when you need to pull data from one table into another based on a common key (like an ID number).
How to do it:
Use the formula:
= VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])
Example: =VLOOKUP(A2, Table2!A:B, 2, FALSE)
It’s quick and easy! If your tables are structured well, this formula will seamlessly pull data from one to the other.
INDEX and MATCH together give you more flexibility than VLOOKUP. You can look up data in any column, not just the first one.
How to do it:
Use the formula:
= INDEX(return_range, MATCH(lookup_value, lookup_range, 0))
Example: =INDEX(Table2!B:B, MATCH(A2, Table2!A:A, 0))
This combo works even if the lookup column isn’t the first one. Plus, it’s more efficient for larger datasets.
Joining multiple tables in Excel with Power Query makes data consolidation in Excel easy. Follow these steps to create one unified table:
Combining tables by column headers in Excel is quick with the right steps. Here’s how to bring it all together seamlessly:
Merging data in Excel is one thing; making sense of it is another.
Data visualization turns numbers into stories, bringing hidden insights to life. Yet, Excel’s basic charts often fall short of complex analysis. They’re limited, static, and sometimes just plain uninspiring.
This is where ChartExpo comes in. As an advanced add-in for Excel, ChartExpo offers interactive, dynamic visualizations that transform raw data into engaging, clear graphics. With ChartExpo, visualizing merged data in Excel goes from a challenge to a breeze.
Let’s learn how to install ChartExpo in Excel.
ChartExpo charts are available both in Google Sheets and Microsoft Excel. Please use the following CTAs to install the tool of your choice and create beautiful visualizations with a few clicks in your favorite tool.
Let’s analyze the merged data below in Excel using ChartExpo.
Months | Orders | Sales | Profit Margin |
Jan | 713 | 23695 | 19 |
Feb | 504 | 17457 | 21 |
Mar | 507 | 23771 | 27 |
Apr | 634 | 16936 | 19 |
May | 538 | 19181 | 29 |
Jun | 842 | 21755 | 28 |
Jul | 497 | 19406 | 29 |
Aug | 562 | 21689 | 21 |
Sep | 769 | 23370 | 27 |
Oct | 874 | 20006 | 26 |
Nov | 661 | 22677 | 21 |
Dec | 591 | 23229 | 25 |
Monthly sales and orders fluctuate throughout the year as follows:
The following video will help you create a Multi-Axis Line Chart in Microsoft Excel.
Merging data in Excel has big benefits for anyone working with lots of information. Here are the main advantages:
Merging sheets in Excel doesn’t have to be complicated. With a few smart tips, you can make the process smooth and accurate:
Yes, you can merge two cells and keep both data using a formula. In a new cell, use =A1 & ” ” & B1 to combine the contents of cells A1 and B1, with a space between.
To merge two Excel entries, use the CONCATENATE function or =A1 & ” ” & B1. This combines the contents of cells A1 and B1 and preserves both entries without losing data.
To merge two lists in Excel:
Data merging in Excel is a powerful skill. It brings scattered information together in one place, allowing you to see the full picture without flipping through multiple sheets.
Merging data saves time and reduces errors. With everything in one table, you can spot patterns and insights faster. Excel functions like VLOOKUP and Power Query make merging data accessible for all users.
When data is merged, analysis becomes simpler. You can easily filter, sort, and summarize. It’s a straightforward way to keep information organized and efficient.
However, while merging data is essential, visualization is just as important. Excel’s basic charts may not always capture the depth of your data. Complex insights need advanced, interactive visuals.
This is where tools like ChartExpo can help. ChartExpo turns data into engaging, clear visuals. It’s perfect for anyone looking to go beyond Excel’s standard charts.
Ready to elevate your data analysis? Install ChartExpo in Excel today to unlock advanced visualization and make your data easy to understand and impactful.