Good Data Practices in Excel include:

Good Data Practices in Excel include:

• A. Clear headers, no merged cells, consistent formatting.
• B. Use merged cells to group headers.
• C. Inconsistent formatting across the dataset.
• D. Hidden headers to save space.

Answer: (A)

Clear headers, no merged cells, and consistent formatting are essential for reliable data in Excel. Clear headers define what each column represents, so formulas, pivot tables, and data-import tools can reference fields correctly and keep analyses organized. When there are no merged cells, every data value stays in its own cell, which keeps the table aligned and makes sorting, filtering, and applying calculations straightforward across the entire dataset. Consistent formatting across the dataset helps maintain uniform data types (such as dates, numbers, and text) in each column, reducing errors in calculations and ensuring smooth data sharing with other software. Using merged cells to group headers disrupts data structure and makes it hard for tools to treat the sheet as a true table, complicating operations like sorting, filtering, and linking to formulas. Inconsistent formatting across the dataset invites mistakes in interpretation and calculation, and hidden headers obscure what each column contains, leading to confusion and errors when others work with the data or when exporting it.

Clear headers, no merged cells, and consistent formatting are essential for reliable data in Excel. Clear headers define what each column represents, so formulas, pivot tables, and data-import tools can reference fields correctly and keep analyses organized. When there are no merged cells, every data value stays in its own cell, which keeps the table aligned and makes sorting, filtering, and applying calculations straightforward across the entire dataset. Consistent formatting across the dataset helps maintain uniform data types (such as dates, numbers, and text) in each column, reducing errors in calculations and ensuring smooth data sharing with other software.

Using merged cells to group headers disrupts data structure and makes it hard for tools to treat the sheet as a true table, complicating operations like sorting, filtering, and linking to formulas. Inconsistent formatting across the dataset invites mistakes in interpretation and calculation, and hidden headers obscure what each column contains, leading to confusion and errors when others work with the data or when exporting it.