Text casing modification standardizes the capitalization of text data, ensuring consistency in how your information appears across systems and reports. This straightforward yet powerful technique improves data quality and enhances analytical capabilities.
Why Use Text Casing Modification?
Consistency - Create a uniform appearance across all your datasets
Data Cleaning - Normalize text from diverse sources with varying capitalization patterns
Search Efficiency - Improve match rates and reduce missed results in text searches
Analysis Readiness - Prepare text for case-sensitive operations and algorithms
Available Text Casing Options
To Lowercase
Converts all alphabetic characters to lowercase format.
Before: "USER_ID-123"
After: "user_id-123"Best for: Email addresses, usernames, search terms, and general text standardization.
To Uppercase
Converts all alphabetic characters to uppercase format.
Before: "product-code-abc"
After: "PRODUCT-CODE-ABC"Best for: Codes, abbreviations, acronyms, and creating visual emphasis.
How to Apply Text Casing Transformation?
Select the desired transformation from the dropdown menu (Lowercase or Uppercase)
Configure any additional settings if needed.
Click "
Save" to apply the transformation
Tip
Consider storing the original text in a separate field to preserve intentional capitalization when needed.
Testing Your Transformation
Before applying changes to your entire dataset:
Enter representative sample text in the "
Test Transformation" field.Click "
Test" to preview the results.Verify the output matches your expectations.
Make adjustments to your configuration if necessary.
Best Practices
Be Consistent - Apply the same casing rules to related fields across your datasets
Consider Context - Choose casing based on data type and how it will be used
Document Your Choices - Record your casing standards for future reference
Preserve Originals - Keep source data intact when maintaining the original format is important
