DVAR Function (LibreOffice Calc)
The DVAR function calculates the sample variance of numeric values in a database column that match a set of criteria. It is part of the database function family and supports structured, criteria-based filtering.
Compatibility
▾| Excel | ✔ |
| Gnumeric | ✔ |
| Google_sheets | ✔ |
| Libreoffice | ✔ |
| Numbers | ✖ |
| Onlyoffice | ✔ |
| Openoffice | ✔ |
| Wps | ✔ |
| Zoho | ✔ |
What the DVAR Function Does â–¾
- Calculates sample variance of numeric values
- Applies criteria-based filtering using a criteria range
- Supports multiple criteria columns
- Supports AND/OR logic via criteria layout
- Works with structured database ranges
It is designed to be precise, statistical, and ideal for database-style variance analysis.
Syntax â–¾
DVAR(database; field; criteria)
Arguments
-
database:
A range where the first row contains column labels. -
field:
The column to evaluate.- Use column label in quotes (recommended)
- Or use column index (1 = first column)
-
criteria:
A range containing column labels and one or more criteria rows.
Basic Examples â–¾
Assume a table in A1:C6:
| A (Name) | B (Age) | C (Score) |
|---|---|---|
| John | 25 | 80 |
| Mary | 30 | 90 |
| Alex | 22 | 70 |
| John | 28 | 85 |
| Mary | 35 | 88 |
Criteria in E1:F2:
| Age | Score |
|---|---|
| >25 | >80 |
Sample variance of Score matching criteria
=DVAR(A1:C6; "Score"; E1:F2)
Values: 90, 85, 88
Sample variance = 6.333…
Sample variance of Age matching criteria
=DVAR(A1:C6; "Age"; E1:F2)
Values: 30, 28, 35
Sample variance = 13
Using field index
=DVAR(A1:C6; 3; E1:F2)
Evaluates Score.
Advanced Examples â–¾
Variance of Score where Name = “John”
Criteria:
| Name |
|---|
| John |
Formula:
=DVAR(A1:C6; "Score"; E1:E2)
Variance of Age between 25 and 30
Criteria:
| Age |
|---|
| >=25 |
| <=30 |
Formula:
=DVAR(A1:C6; "Age"; E1:E3)
OR logic (multiple rows)
Criteria:
| Age | Score |
|---|---|
| >30 | |
| >85 |
Formula:
=DVAR(A1:C6; "Score"; E1:F3)
Variance where Name begins with “M”
Criteria:
| Name |
|---|
| M* |
Formula:
=DVAR(A1:C6; "Score"; E1:E2)
Variance with dynamic criteria
=DVAR(A1:C6; "Score"; H1:I2)
Variance of positive Scores
Criteria:
| Score |
|---|
| >0 |
Formula:
=DVAR(A1:C6; "Score"; E1:E2)
Variance of non-blank Scores
Criteria:
| Score |
|---|
| <>"" |
Formula:
=DVAR(A1:C6; "Score"; E1:E2)
Edge Cases and Behavior Details â–¾
DVAR evaluates only numeric values
Text, blanks, and errors are ignored.
Sample variance requires at least 2 numeric values
If fewer than 2 values match → #DIV/0!
field can be:
- Column label
- Column index
- Cell containing label
criteria must include column labels
Exact match required.
criteria supports:
- Comparison operators
- Wildcards
- Multiple rows (OR)
- Multiple columns (AND)
Empty criteria → variance of all numeric values
DVAR of an error in database → error ignored
DVAR of an error in criteria → error returned
Criteria rows:
- Each row = OR
- Each column = AND
Common Errors and Fixes â–¾
#DIV/0! — Not enough numeric values
Cause:
- Only one or zero values match criteria
Fix:
- Broaden criteria
- Ensure numeric values exist
DVAR returns 0 unexpectedly
Cause:
- Only one matching value (variance of a single value = 0)
- Criteria labels don’t match database labels
Err:502 — Invalid argument
Occurs when:
- field is invalid
- database range malformed
Criteria not applied
Cause:
- Criteria labels not identical to database labels
Best Practices â–¾
- Use DVAR for structured statistical analysis
- Use column labels instead of index numbers
- Keep criteria ranges small and clearly labeled
- Use multiple criteria rows for OR logic
- Use multiple criteria columns for AND logic
- Use DVARP for population variance
- Use DSTDEV/DSTDEVP for standard deviation
- Use FILTER (modern Calc) for dynamic extraction
Related Patterns and Alternatives â–¾
- Use DVARP for population variance
- Use DSTDEV and DSTDEVP for standard deviation
- Use DAVERAGE for conditional averages
- Use DSUM for summation
- Use DCOUNT or DCOUNTA for counting
- Use VAR, VARP, VAR.S, VAR.P for non-database variance
- Use FILTER for dynamic row extraction
By mastering DVAR and its companion database functions, you can build powerful, structured, and criteria-driven statistical workflows in LibreOffice Calc.