Teradata Package for R Function Reference | 17.20 - Descriptive Statistics - Teradata Package for R - Look here for syntax, methods and examples for the functions included in the Teradata Package for R.

Teradata® Package for R Function Reference

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for R
Release Number
17.20
Published
March 2024
ft:locale
en-US
ft:lastEdition
2024-05-03
dita:id
TeradataR_FxRef_Enterprise_1720
lifecycle
latest
Product Category
Teradata Vantage
 
 
Introduction to Descriptive Statistics

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.