- Data Formatting:
Data formatting is the process of organizing, structuring, and styling data to improve its readability and presentation. This involves altering the appearance of text, numbers, dates, or any other data elements to make them more comprehensible and meaningful.
- Data Formatting Tools:
1. Font and Text Controls: Includes bold, italics, font size, and font color adjustments.
2. Numerical Formatting: Options for currency, percentage, decimal precision, and scientific notation.
3. Alignment Options: Controls for left, right, and center alignment, along with indentation.
4. Conditional Formatting: Applies visual highlights to data based on predefined criteria.
5. Date and Time Styles: Modifies the display of dates and times (e.g., MM/DD/YYYY).
6. Borders and Fill: Enables the addition of borders and background colors to cells or tables.