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Hands-On Exploratory Data Analysis with Python

You're reading from   Hands-On Exploratory Data Analysis with Python Perform EDA techniques to understand, summarize, and investigate your data

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789537253
Length 352 pages
Edition 1st Edition
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Authors (2):
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Suresh Kumar Mukhiya Suresh Kumar Mukhiya
Author Profile Icon Suresh Kumar Mukhiya
Suresh Kumar Mukhiya
Usman Ahmed Usman Ahmed
Author Profile Icon Usman Ahmed
Usman Ahmed
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Table of Contents (17) Chapters Close

Preface 1. Section 1: The Fundamentals of EDA
2. Exploratory Data Analysis Fundamentals FREE CHAPTER 3. Visual Aids for EDA 4. EDA with Personal Email 5. Data Transformation 6. Section 2: Descriptive Statistics
7. Descriptive Statistics 8. Grouping Datasets 9. Correlation 10. Time Series Analysis 11. Section 3: Model Development and Evaluation
12. Hypothesis Testing and Regression 13. Model Development and Evaluation 14. EDA on Wine Quality Data Analysis 15. Other Books You May Enjoy Appendix

Descriptive Statistics

In this chapter, we will explore descriptive statistics and their various techniques. Descriptive statistics, as the name suggests, assist in describing and comprehending datasets by providing a short summary pertaining to the dataset provided. The most common types of descriptive statistics include the measure of central tendencies, the measure of deviation, and others. In this chapter, we will become familiar with these techniques and explore those factual measures with visualization. We will use tools such as box plot to get bits of knowledge from statistics.

In this chapter, we'll cover the following topics:

  • Understanding statistics
  • Measures of central tendency
  • Measures of dispersion
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