Teradata Package for Python Function Reference | 20.00 - Descriptive Statistics - Teradata Package for Python - Look here for syntax, methods and examples for the functions included in the Teradata Package for Python.

Teradata® Package for Python Function Reference - 20.00

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
March 2024
Language
English (United States)
Last Update
2024-04-10
dita:id
TeradataPython_FxRef_Enterprise_2000
Product Category
Teradata Vantage
 
 
Descriptive Statistics Header

Descriptive statistics provide functions to statistically analyze and explore a data residing 
on Vantage. Descriptive statistical analysis is valuable for the following reasons:
    * It provides business insight.
    * It uncovers data quality issues, which, if not corrected or compensated for, jeopardize
      the accuracy of analytic models based on the data.
    * It isolates the data used in building analytic models. For example, when an outlying
      value is identified, you can include or exclude that value depending on a business problem.
    * Statistical processes used in analytic modeling require a certain type of data
      distribution. Descriptive statistical analysis help determine the suitability of various
      data elements for model input and suggest transformations that may be required.