How to merge after splitting

After sorting, the data can be merged through formulas, text functions, text tools and databases. Detailed introduction: 1. Formula, "= A1 & " " & B1"; 2. Text functions, "CONCATENATE function", "TEXTJOIN function", "CONCAT function"; 3. Text tools, text editor, scripting language; 4 , database, the database provides powerful query and operation functions that can help merge and process data efficiently.

The operating system of this tutorial: windows10 system, excel2019 version, DELL G3 computer.

When processing data and information, we often need to divide the data into columns for better analysis and processing. However, in some cases, we may need to re-merge the disaggregated data into its original format. This article will introduce some common methods and techniques to help you effectively merge data after splitting.

1. Use formulas to merge data

In Excel, we can use formulas to merge split data. Suppose we have two columns of data, first and last name, and we want to merge them into a complete name. We can use the following formula to achieve this:

= A1 & " " & B1

where A1 and B1 are the cells where the first and last names are located respectively. By using the ampersand to concatenate the two strings and separating them with a space, we can merge the two columns of data into a complete name.

If we have multiple rows of data that need to be merged, we can drag this formula to other cells to apply to the entire data range.

2. Use text functions to merge data

In addition to using formulas, we can also use text functions in Excel to merge columnar data. Commonly used text functions include CONCATENATE, TEXTJOIN, CONCAT, etc.

1. CONCATENATE function

The CONCATENATE function can combine multiple text strings into one string. Suppose we have two columns of data, namely last name and first name. We can use the following formula to merge them:

= CONCATENATE(A1, " ", B1)

where A1 and B1 are respectively is the cell containing the first and last names. By using the CONCATENATE function, we can combine the two columns of data into a complete name.

2. TEXTJOIN function

The TEXTJOIN function can combine multiple text strings into one string and can specify the delimiter. Suppose we have two columns of data, namely last name and first name, we can use the following formula to merge them:

= TEXTJOIN(" ", TRUE, A1, B1)

where, A1 and B1 is the cell containing the last name and first name respectively. By using the TEXTJOIN function, we can combine two columns of data into a complete name and separate them with a space.

3. CONCAT function

The CONCAT function can combine multiple text strings into one string. Suppose we have two columns of data, namely last name and first name. We can use the following formula to merge them:

= CONCAT(A1, " ", B1)

where A1 and B1 are respectively is the cell containing the first and last names. By using the CONCAT function, we can combine the two columns of data into a complete name.

3. Use text tools to merge data

In addition to using Excel formulas and functions, we can also use text tools to merge split data. The following are some common text tools:

1. Text editor

If we have a large amount of data that needs to be merged, we can export the columnar data as a text file and then use text editing processor for merging. Text editors usually have find and replace functions that can help us quickly merge data.

2. Scripting language

If we are familiar with programming, we can use scripting language to merge the sorted data. For example, use Python to write a simple script to read the columnar data files and merge the data into the original format.

4. Use the database to merge data

If we have a large amount of data that needs to be merged, and complex operations and analysis are required, we can consider using a database to merge the data. The database provides powerful query and operation functions that can help us merge and process data efficiently.

Summary:

When processing data and information, column sorting is a common operation. However, in some cases, we may need to re-merge the disaggregated data into its original format. This article describes some common methods and techniques, including using formulas, text functions, text tools, and databases to combine data. Whether it is simple data merging or complex data processing, we can choose the appropriate methods and tools to achieve it according to specific needs. .

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