Descriptive Analytics

Nizamettin Bayyurt; Sefer Baday

doi:10.1007/978-3-030-93823-9_2

Descriptive Analytics

Nizamettin Bayyurt^*, Sefer Baday

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this chapter, descriptive analytics and statistical analyses are introduced. Specifically, data exploration and visualization, probability distributions, statistical inference, and Bayesian statistics are explained. Along with theory, practical applications on a sample data set are provided. Applications are performed using the following Python libraries: Pandas, Seaborn, and Statmodels.

Original language	English
Title of host publication	Springer Series in Advanced Manufacturing
Publisher	Springer Nature
Pages	21-48
Number of pages	28
DOIs	https://doi.org/10.1007/978-3-030-93823-9_2
Publication status	Published - 2022

Publication series

Name	Springer Series in Advanced Manufacturing
ISSN (Print)	1860-5168
ISSN (Electronic)	2196-1735

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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10.1007/978-3-030-93823-9_2

Cite this

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Descriptive Analytics

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