Heckert, N.
and Filliben, J.
(2003),
NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis, NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis (Accessed April 28, 2026)
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NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis
Published
Author(s)
,
Abstract
This chapter presents an approach/philosophy for data analysis which employs a variety of techniques (mostly graphical) to: maximize insight into a data set; uncover underlying structure; detect outliers and anomalies; test underlying assumptions; and develop parsimonious models. The chapter also includes many case studies that show how to check a dataset for underlying assumptions.Citation
NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis
Pub Type
Others
Keywords
exploratory analysis, graphics, modeling, statistical tests
Citation
Issues
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Created May 31, 2003, Updated October 12, 2021