sparksee.AttributeStatistics Class Reference

Attribute statistics class. More...

Public Member Functions
def	get_min_length_string (self)
	Gets the minimum length. More...
def	get_mode_count (self)
	Gets the number of objects with a Value equal to the mode. More...
def	get_variance (self)
	Gets the variance. More...
def	get_mode (self)
	Gets the mode. More...
def	get_min (self)
	Gets the minimum existing value (BASIC statistics). More...
def	get_median (self)
	Gets the median. More...
def	get_total (self)
	Gets the number of objects with a non-NULL Value (BASIC statistic). More...
def	get_max_length_string (self)
	Gets the maximum length. More...
def	get_mean (self)
	Gets the mean or average. More...
def	get_null (self)
	Gets the number of objects NULL a Value (BASIC statistics). More...
def	get_distinct (self)
	Gets the number of distinct values (BASIC statistics). More...
def	get_avg_length_string (self)
	Gets the average length. More...
def	get_max (self)
	Gets the maximum existing value (BASIC statistics). More...

Detailed Description

Attribute statistics class.

It contains statistic data about an attribute.

Some fields are valid just for numerical attributes and others just for string attributes. Also, some statistics are considered BASIC because computing them do not require to traverse all the different values of the attribute. For each getter method the documentation tells if the statistic is BASIC or not. See the Graph class method getAttributeStatistics or check out the SPARKSEE User Manual for more details on this.

Author

Sparsity Technologies http://www.sparsity-technologies.com

Member Function Documentation

def sparksee.AttributeStatistics.get_avg_length_string

(

self

)

Gets the average length.

If the attribute is not an string attribute, it just returns 0.

Returns

The average length.

def sparksee.AttributeStatistics.get_distinct

(

self

)

Gets the number of distinct values (BASIC statistics).

Returns

The number of distinct values.

def sparksee.AttributeStatistics.get_max

(

self

)

Gets the maximum existing value (BASIC statistics).

Returns

The maximum existing value.

def sparksee.AttributeStatistics.get_max_length_string

(

self

)

Gets the maximum length.

If the attribute is not an string attribute, it just returns 0.

Returns

The maximum length.

def sparksee.AttributeStatistics.get_mean

(

self

)

Gets the mean or average.

Mean or average: Sum of all Values divided by the number of observations.

It is computed just for numerical attributes.

Returns

The mean.

def sparksee.AttributeStatistics.get_median

(

self

)

Gets the median.

Median: Middle value that separates the higher half from the lower.

If a < b < c, then the median of the list {a, b, c} is b, and if a < b < c < d, then the median of the list {a, b, c, d} is the mean of b and c, i.e. it is (b + c)/2

It is computed just for numerical attributes.

Returns

The median.

def sparksee.AttributeStatistics.get_min

(

self

)

Gets the minimum existing value (BASIC statistics).

Returns

The minimum existing value.

def sparksee.AttributeStatistics.get_min_length_string

(

self

)

Gets the minimum length.

If the attribute is not an string attribute, it just returns 0.

Returns

The minimum length.

def sparksee.AttributeStatistics.get_mode

(

self

)

Gets the mode.

Mode: Most frequent Value.

Returns

The mode.

def sparksee.AttributeStatistics.get_mode_count

(

self

)

Gets the number of objects with a Value equal to the mode.

Returns

The number of objects with a Value equal to the mode.

def sparksee.AttributeStatistics.get_null

(

self

)

Gets the number of objects NULL a Value (BASIC statistics).

Returns

The number of objects NULL a Value.

def sparksee.AttributeStatistics.get_total

(

self

)

Gets the number of objects with a non-NULL Value (BASIC statistic).

Returns

The number of objects with a non-NULL Value.

def sparksee.AttributeStatistics.get_variance

(

self

)

Gets the variance.

It is computed just for numerical attributes.

Returns

The variance.