Mastering the CONCAT Function in Looker Studio: Syntax, Examples, and Best Practices

Mastering the CONCAT Function in Looker Studio: Syntax, Examples, and Best Practices

Understanding the Syntax of the CONCAT Function

The CONCAT function follows a straightforward syntax that consists of the function name, followed by input parameters separated by commas. Expressed in a standardized manner:


CONCAT(X, Y [,Z, ...])

It accepts two or more parameters, denoted by (X, Y [,Z, ...]). These parameters can be a mix of literal text, a field, or an expression containing at least one field. Unfortunately, you can't use aggregated fields as parameters with this function.

Using the CONCAT Function

Utilizing the CONCAT function is relatively straightforward. You call the function by writing CONCAT(), then within the brackets, you input your parameters separated by commas. These parameters could be fields, literal text, or expressions with at least one field. Looker Studio (formerly Google Data Studio) then forms a single text by merging the parameters.

Remember, while using literal text, you must enclose it within double quotes ("") for the function to recognize it as such.

Walking Through Examples of the CONCAT Function

Let's step through some real-world examples illustrating the use of the CONCAT function in Google Data Studio using sales data.

Example 1: Let's say we have a dataset containing information on sales made. Each sale has a Sales Rep and Sales Product field. We can use CONCAT to provide a more seamless way to relate sales representatives with the products they sold:


CONCAT("Sales Rep: ", Sales Rep, " ", "Product: ", Sales Product)

This formula would output a statement like: 'Sales Rep: John Doe Product: XYZ', providing a simplified method to relate the two fields.

Example 2: Alternatively, we could be looking at sales data where we've information of sales volume and the respective month. We can use CONCAT to formulate an ‘Output’ field to make this relationship clear:


CONCAT("In ", Month, ", sales volume was ", Sales Volume)

This formula gives an output like: 'In March, sales volume was 1500', making it clear when each sales volume was achieved.

Restrictions of the CONCAT Function

Although quite resourceful, the CONCAT function does have its limits. It cannot accept aggregated fields as parameters. Additionally, the function's capability heavily relies on the accuracy and functionality of the Google Data Studio.

Pro Tips for Using the CONCAT Function

To get the most out of the CONCAT function, always aim at enhancing data readability and clarity. By cleverly manipulating data fields to present complex datasets in an understandable manner, CONCAT becomes a powerful tool in your data reporting and analysis arsenal.

Ultimately, a comprehensive understanding of the CONCAT function provides insight into the transformative power of Google Data Studio.

More function to use with Looker Studio

NARY_MAX
:
Utilizing the NARY_MAX Function in Looker Studio: A Comprehensive Guide to Enhancing Data Analysis Efficiency
DATETIME
:
Understanding the DATETIME Function in Looker Studio: Syntax, Functionality, and Essential Tips
DATETIME
:
How to use the DATETIME function
TOCONTINENT
:
Unlocking Geographical Analysis with Looker Studio's TOCONTINENT Function: Features, Examples, and Expert Tips
CAST
:
Transform you data with the CAST function in Looker Studio