Data Cleaning and Validation Techniques

Use text functions (TRIM, CLEAN, UPPER, PROPER) to standardize text data.

Split data from one column into multiple columns using Text to Columns and text functions (LEFT, RIGHT, MID).

Identify and remove duplicate entries using the built-in Remove Duplicates tool.

Set up data validation rules (e.g., dropdown lists, date ranges) to ensure data entry consistency.

Apply conditional formatting to highlight duplicates, blanks, outliers, or specific statuses.