- Data Formatting:
Data formatting refers to the process of organizing, structuring, and styling data to enhance its readability and presentation. It includes modifying the appearance of text, numbers, dates, or any other content within a dataset to make it more meaningful and easy to understand.
- Tools Used for Data Formatting:
1. Font and Text Tools: Bold, Italics, Font Size, Font Color.
2. Number Formatting: Currency, Percentage, Decimal Points, Scientific Notation.
3. Alignment Tools: Left, Right, Center Alignment, Indentation.
4. Conditional Formatting: Highlighting data based on specific conditions.
5. Date and Time Formatting: Changing date and time formats (e.g., MM/DD/YYYY).
6. Borders and Shading: Adding borders and background colors to cells or tables.