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:
       -e
           Extended statistics (quartiles and 90th percentile)

       -g
           Print stats in shell script style

       --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

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)

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

       © 2003-2019 GRASS Development Team, GRASS GIS 7.8.2 Reference Manual