linkend="catalog-pg-attribute"><structname>pg_attribute</structname></link>.<structfield>attname</structfield>)
</para>
<para>
Name of column described by this row
</para></entry>
</row>
<row>
<entry role="catalog_table_entry"><para role="column_definition">
<structfield>inherited</structfield> <type>bool</type>
</para>
<para>
If true, this row includes values from child tables, not just the
values in the specified table
</para></entry>
</row>
<row>
<entry role="catalog_table_entry"><para role="column_definition">
<structfield>null_frac</structfield> <type>float4</type>
</para>
<para>
Fraction of column entries that are null
</para></entry>
</row>
<row>
<entry role="catalog_table_entry"><para role="column_definition">
<structfield>avg_width</structfield> <type>int4</type>
</para>
<para>
Average width in bytes of column's entries
</para></entry>
</row>
<row>
<entry role="catalog_table_entry"><para role="column_definition">
<structfield>n_distinct</structfield> <type>float4</type>
</para>
<para>
If greater than zero, the estimated number of distinct values in the
column. If less than zero, the negative of the number of distinct
values divided by the number of rows. (The negated form is used when
<command>ANALYZE</command> believes that the number of distinct values is
likely to increase as the table grows; the positive form is used when
the column seems to have a fixed number of possible values.) For
example, -1 indicates a unique column in which the number of distinct
values is the same as the number of rows.
</para></entry>
</row>
<row>
<entry role="catalog_table_entry"><para role="column_definition">
<structfield>most_common_vals</structfield> <type>anyarray</type>
</para>
<para>
A list of the most common values in the column. (Null if
no values seem to be more common than any others.)
</para></entry>
</row>
<row>
<entry role="catalog_table_entry"><para role="column_definition">
<structfield>most_common_freqs</structfield> <type>float4[]</type>
</para>
<para>
A list of the frequencies of the most common values,
i.e., number of occurrences of each divided by total number of rows.
(Null when <structfield>most_common_vals</structfield> is.)
</para></entry>
</row>
<row>
<entry role="catalog_table_entry"><para role="column_definition">
<structfield>histogram_bounds</structfield> <type>anyarray</type>
</para>
<para>
A list of values that divide the column's values into groups of
approximately equal population. The values in
<structfield>most_common_vals</structfield>, if present, are omitted from this
histogram calculation. (This column is null if the column data type
does not have a <literal><</literal> operator or if the
<structfield>most_common_vals</structfield> list accounts for the entire
population.)
</para></entry>
</row>
<row>
<entry role="catalog_table_entry"><para role="column_definition">
<structfield>correlation</structfield> <type>float4</type>
</para>
<para>
Statistical correlation between physical row ordering and
logical ordering of the column values. This ranges from -1 to +1.
When the value is near -1 or +1, an index scan on the column will
be estimated to be cheaper than when it is near zero, due to reduction
of random access to the disk. (This column is null if the column data
type does not have a <literal><</literal> operator.)
</para></entry>
</row>
<row>
<entry role="catalog_table_entry"><para role="column_definition">