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The Data Analysis Workshop
book

The Data Analysis Workshop

by Gururajan Govindan, Shubhangi Hora, Konstantin Palagachev, Brent Broadnax, John Wesley Doyle, Ashish Jain, Robert Thas John, Ravi Ranjan Prasad Karn, Pritesh Tiwari
July 2020
Beginner to intermediate content levelBeginner to intermediate
626 pages
10h 2m
English
Packt Publishing
Content preview from The Data Analysis Workshop

2. Absenteeism at Work

Overview

In this chapter, you will perform standard data analysis techniques, such as estimating conditional probabilities, Bayes' theorem, and Kolmogorov-Smirnov tests, for distribution comparison. You will also implement data transformation techniques, such as the Box-Cox and Yeo-Johnson transformations, and apply these techniques to a given dataset.

Introduction

In the previous chapter, we looked at some of the main techniques that are used in data analysis. We saw how hypothesis testing can be used when analyzing data, we got a brief introduction to visualizations, and finally, we explored some concepts related to time series analysis. In this chapter, we will elaborate on some of the topics we've already looked ...

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Publisher Resources

ISBN: 9781839211386Supplemental Content