- What's the difference between NA() and leaving a cell blank?
- NA() explicitly marks a cell as containing unavailable data, while blank means the data either doesn't exist or hasn't been entered yet. NA() forces formulas to handle the missing value rather than treating it as zero, and makes data gaps visible in reports. Use NA() when data should exist but is genuinely missing.
- Can I use NA() in Google Sheets?
- Yes, NA() works identically in Google Sheets and Excel, returning #N/A in both. You can catch it with IFNA() or IFERROR() the same way, and it propagates through formulas consistently across both platforms.
- How do I sum or average numbers when cells contain #N/A from NA()?
- Use the AGGREGATE function, which can skip errors: =AGGREGATE(9, 6, F2:F4) for SUM or =AGGREGATE(1, 6, F2:F4) for AVERAGE. The 6 tells AGGREGATE to ignore error values. Alternatively, prevent #N/A from appearing by wrapping NA() in IFERROR() with a default value.
- When should I use NA() instead of IF or blank cells?
- Use NA() inside IF or IFERROR to mark when expected data is unavailable: =IF(ISBLANK(F2), NA(), F2) returns #N/A only if CSAT is missing, while =IFERROR(VLOOKUP(...), NA()) uses NA() as the error handler. Both approaches make data gaps explicit, forcing conscious handling instead of hiding them.