Looker Studio Function : LEFT_TEXT

LEFT_TEXT Function in Looker Studio – Practical Guide with Examples

Category: Text Function

The LEFT_TEXT function in Looker Studio is a text manipulation function used to extract a specific number of characters from the left side of a text value. It is extremely useful when dealing with structured text fields like order IDs, product codes, invoice numbers, phone numbers, or date strings stored as text.

In many real projects, raw data is not always clean or well-formatted. For example, an order ID might contain region code + year + serial number in a single field. Instead of fixing this at the data source level, LEFT_TEXT allows analysts to quickly extract meaningful parts directly inside Looker Studio.

From a reporting perspective, this function helps create new dimensions, simplify grouping logic, and improve dashboard readability. Since LEFT_TEXT works at row level, it performs efficiently even on large datasets. It is commonly used along with other text functions like RIGHT_TEXT, MID, and CONCAT for advanced text transformations.

Overall, LEFT_TEXT is a simple yet powerful function that every Looker Studio user should know, especially when working with structured or semi-structured text data.

Purpose of the LEFT_TEXT Function

1. Extract Fixed-Length Codes

Used to extract region codes, category codes, or prefixes from text fields.

2. Data Cleaning

Helps clean raw text data by separating meaningful information.

3. Custom Dimension Creation

Allows creation of new calculated dimensions based on part of a text field.

4. Simplify Reporting Logic

Reduces dependency on complex formulas or source-level data changes.

Type of Calculation & Practical Use Cases

1. Calculated Dimension

LEFT_TEXT is mainly used as a calculated dimension.

2. Text Transformation

Helps transform raw text into business-friendly values.

3. Grouping & Categorization

Used for grouping data based on extracted text values.

4. Pre-Analysis Data Preparation

Acts as a lightweight data preparation step inside Looker Studio.

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LEFT_TEXT(text, number_of_characters)

LEFT_TEXT Function – Parameters Table

 
ParameterTypeDescription
textTextThe text value from which characters are extracted
number_of_charactersNumberNumber of characters to extract from the left
How Does the LEFT_TEXT Function Work?

The LEFT_TEXT function starts reading the text value from the leftmost character and extracts the number of characters specified in the second parameter. The function returns the extracted portion as a new text value.

For example, if the text is “IND-2025-001” and the number of characters is 3, the output will be “IND”. The function works on each row independently, making it reliable for large datasets. If the number of characters exceeds the text length, the entire text is returned without error.


When Should You Use LEFT_TEXT Function?
  1. When extracting prefixes or fixed-length codes

  2. When working with structured text fields

  3. When creating new grouping dimensions

  4. When data cleaning is needed inside Looker Studio

  5. When avoiding source-level data changes

Examples of LEFT_TEXT Function

Example 1: Extract Country Code
LEFT_TEXT(Order_ID, 3)

Input: IND2025001
Output: IND


Example 2: Get Year from Text Date
LEFT_TEXT(Date_Text, 4)

Input: 2025-01-15
Output: 2025


Example 3: Product Category Code
LEFT_TEXT(Product_Code, 2)

Input: EL4589
Output: EL


Tips & Best Practices

  • Always verify text length before extraction

  • Use LEFT_TEXT only when text structure is consistent

  • Combine with RIGHT_TEXT or MID for complex logic

  • Test results using tables before finalizing dashboards

  • Keep calculated fields simple and readable

1. Is LEFT_TEXT case-sensitive?

No, it simply extracts characters and does not compare values.

2. What happens if text is shorter than the number specified?

The full text is returned without any error.

3. Can LEFT_TEXT work with numbers?

No. Numbers must be converted to text first.

4. Is LEFT_TEXT a metric or dimension?

It is mainly used as a calculated dimension.

5. Can it replace REGEXP functions?

For fixed-length extraction, yes. For dynamic patterns, REGEXP is better.