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Data Insight Foundations: Step-by-Step Data Analysis with R
book

Data Insight Foundations: Step-by-Step Data Analysis with R

by Nikita Tkachenko
March 2025
Beginner to intermediate
222 pages
5h 46m
English
Apress
Content preview from Data Insight Foundations: Step-by-Step Data Analysis with R
© Nikita Tkachenko 2025
N. TkachenkoData Insight Foundationshttps://doi.org/10.1007/979-8-8688-0580-6_5

5. Imputation

Nikita Tkachenko1  
(1)
San Francisco, USA
 

Imputation is a statistical technique that fills in missing or incomplete data by estimating values from existing information, but its controversial nature arises from the introduction of artificial data, potentially impacting analysis outcomes as newly completed data is assigned more weight. In this chapter we will cover types of missing data and different ways of dealing with them.

Note 5.1

As in medicine, the best solution to missing data is prevention!

5.1 Types of Missing Data

Understanding the type of missing data is crucial as it can guide the appropriate choice of imputation methods or ...
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Publisher Resources

ISBN: 9798868805806