Statistics - Teradata Warehouse Miner

In-Database Analytic Functions User Guide

Product
Teradata Warehouse Miner
Release Number
5.4.4
Published
August 2017
Language
English (United States)
Last Update
2018-05-04
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B035-2306
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previous
Product Category
Teradata® Warehouse Miner

Purpose

When dealing with numeric data columns, it is useful to have several statistical measures to understand the characteristics and properties of each of those numeric columns, to assess their quality, and to look for outlying values and other possible anomalies. The Statistics analysis provides several common and not so common statistical measures for numeric data columns. Extended options include additional analyses and measures such as Values, Modes, Quantiles, and Ranks.

A Statistics analysis can be performed on columns of numeric or date data type. For columns of type DATE, statistics other than count, minimum, maximum, and mean are calculated by first converting to the number of days since 1900.

Syntax

call twm. td_analyze('Statistics','database=twm_source;tablename=twm_customer;columns=income;Optional Parameters;');

Required Parameters

columns
The columns to analyze.
database
The database containing the table to analyze.
Statistics
The Statistics parameter:
  • Is required
  • Must be the first parameter
  • Is always enclosed in single quotes
tablename
The table containing the columns to analyze.

Optional Parameters

extendedoptions
Use to request any of the following extended options to be calculated:
  • all
  • none (default if extendedoptions is not specified)
  • modes
  • quantiles
  • values
  • rank
groupby

If columns are specified with the groupby parameter, a separate analysis is performed for each value or combination of values in the specified columns. For example: groupby=gender,marital_status.

outputdatabase
Specifies the name of the database to contain the analysis results table.
outputtablename
Specifies the name of the table to store the analysis results. If not supplied, the results are returned as a result set.
statisticalmethod
The calcuated statistic as specified by either population or sample. For example, statisicalmethod=population or statisticalmethod=sample can be specified. Population statistics is the default if neither is specified.
statsoptions
The basic statistics to be calculated if the Statistics analysis is performed. Shortened aliases can be used instead of the lengthier names (for example, statsoptions=all or statsoptions=cnt,min,max,mean,std). Available statistics include:
  • all
  • none
  • count (cnt)
  • minimum (min)
  • maximum (max)
  • mean
  • standarddeviation (std)
  • skewness (skew)
  • kurtosis (kurt)
  • standarderror (ste)
  • coefficientofvariance (cv)
  • variance (var)
  • sum
  • uncorrectedsumofsquares (uss)
  • correctedsumofsquares (css)
where

The optional WHERE clause to filter the data to process. For example:

where=cust_id > 0

Examples

These Overlap examples assume the td_analyze function is installed in a database named twm.

These examples demonstrate the invocation of the Statistics analysis with minimal parameters. The statistics calculated are count, min, max, mean, and standard deviation.

call twm.td_analyze('Statistics','database=twm_source;tablename=twm_customer;columns=income;');

The following example produces an output table with group-by and where clause.

call twm.td_analyze('Statistics','database=twm_source;tablename=twm_customer;columns=income;outputdatabase=twm_results;outputtablename=_twm_statistics;groupby=gender;where=income > 0;');

The following example demonstrates the selection of all statistical measures and extended options.

call twm.td_analyze('Statistics','database=twm_source;tablename=twm_customer;columns=income;statsoptions=all;extendedoptions=all;');

The following example demonstrates the selection of individual statistical measures and extended options, returning sample statistics.

call twm.td_analyze('Statistics','database=twm_source;tablename=twm_customer;columns=income;statsoptions=all;extendedoptions=modes;statisticalmethod=sample');