How can you guard against mistakes and misinterpretations when using data sets?

What will be an ideal response?

Numbers are easy to manipulate with spreadsheets and other computer tools, so be sure to guard against computational errors and misinterpretation of results. Double-check all calculations, and document the operation of any spreadsheets you plan to share with colleagues. Common spreadsheet mistakes to watch for include errors in math formulas, references to unintended cells in the spreadsheet, and failures to verify the specific operation of the spreadsheet's built-in math functions. Even when your data points are accurate and your analysis is technically correct, it's still possible to misinterpret or misrepresent the results. Avoid faulty comparisons. Don't push research results beyond their limits. The temptation to extract insights and assurances that aren't really there can be quite strong, particularly in situations of great uncertainty. Steer clear of misleading presentations. Even valid data can be presented in invalid ways (such as with distorted graphs), and it's your responsibility to make sure the visual presentation of your data is accurate.