db.univar.1grass - Man Page

Calculates univariate statistics on selected table column.

Keywords

database, statistics, attribute table

Synopsis

db.univar
db.univar --help
db.univar [-eg] table=name column=name  [database=name]   [driver=name]   [where=sql_query]   [percentile=float[,float,...]]  format=name  [--help]  [--verbose]  [--quiet]  [--ui]

Flags

-e

Extended statistics (quartiles and 90th percentile)

-g

Print stats in shell script style [deprecated]
This flag is deprecated and will be removed in a future release. Use format=shell instead.

--help

Print usage summary

--verbose

Verbose module output

--quiet

Quiet module output

--ui

Force launching GUI dialog

Parameters

table=name [required]

Name of attribute table

column=name [required]

Name of attribute column on which to calculate statistics (must be numeric)

database=name

Name of database

driver=name

Name of database driver
Options: dbf, odbc, ogr, sqlite, pg

where=sql_query

WHERE conditions of SQL statement without ’where’ keyword
Example: income < 1000 and population >= 10000

percentile=float[,float,...]

Percentile to calculate (requires extended statistics flag)
Options: 0-100
Default: 90

format=name [required]

Output format
Options: plain, json, shell
Default: plain
plain: Plain text output
json: JSON (JavaScript Object Notation)
shell: Shell script style for Bash eval

Description

db.univar calculates basic univariate statistics for numeric attributes in a data table. It will calculate minimum, maximum, range, mean, standard deviation, variance, coefficient of variation, quartiles, median, and 90th percentile. It uses db.select to create list values for statistical calculations. NOTES If the database and driver are not specified, the default values set in db.connect will be used.

Example

In this example, random points are sampled from the elevation map (North Carolina sample dataset) and univariate statistics performed:

g.region raster=elevation -p
v.random output=samples n=100
v.db.addtable samples column="heights double precision"
v.what.rast samples raster=elevation column=heights
v.db.select samples
db.univar samples column=heights

See Also

v.db.univar, r.univar, v.univar, db.select, d.vect.thematic

Authors

Michael Barton, Arizona State University

and authors of r.univar.sh

Source Code

Available at: db.univar source code (history)

Latest change: Saturday Feb 14 00:16:26 2026 in commit: ae1ae67e52b94c5cef185fac50aa33b38a56875f

Main index | Database index | Topics index | Keywords index | Graphical index | Full index

© 2003-2026 GRASS Development Team, GRASS 8.5.0 Reference Manual

Info

GRASS 8.5.0 GRASS User's Manual