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db.univar(1grass) GRASS GIS User's Manual db.univar(1grass)

NAME

db.univar - 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,...]] [--help] [--verbose] [--quiet] [--ui]

Flags:


Extended statistics (quartiles and 90th percentile)

Print stats in shell script style

Print usage summary

Verbose module output

Quiet module output

Force launching GUI dialog

Parameters:


Name of attribute table

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

Name of database

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

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

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

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

AUTHOR

Michael Barton, Arizona State University

and authors of r.univar.sh

SOURCE CODE

Available at: db.univar source code (history)

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GRASS 7.8.6