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Exploratory Data Analysis with Python Cookbook

You're reading from Exploratory Data Analysis with Python Cookbook Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

Product type Paperback

Published in Jun 2023

Publisher Packt

ISBN-13 9781803231105

Length 382 pages

Edition 1st Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Analysis

Author (1):

Ayodele Oluleye

View More author details

Table of Contents (13) Chapters

Preface

1. Chapter 1: Generating Summary Statistics

2. Chapter 2: Preparing Data for EDA FREE CHAPTER

3. Chapter 3: Visualizing Data in Python

4. Chapter 4: Performing Univariate Analysis in Python

5. Chapter 5: Performing Bivariate Analysis in Python

6. Chapter 6: Performing Multivariate Analysis in Python

7. Chapter 7: Analyzing Time Series Data in Python

8. Chapter 8: Analysing Text Data in Python

9. Chapter 9: Dealing with Outliers and Missing Values

10. Chapter 10: Performing Automated Exploratory Data Analysis in Python

11. Index

Why subscribe?

12. Other Books You May Enjoy

Generating Summary Statistics

In the world of data analysis, working with tabular data is a common practice. When analyzing tabular data, we sometimes need to get some quick insights into the patterns and distribution of the data. These quick insights typically provide the foundation for additional exploration and analyses. We refer to these quick insights as summary statistics. Summary statistics are very useful in exploratory data analysis projects because they help us perform some quick inspection of the data we are analyzing.

In this chapter we’re going to cover some common summary statistics used on exploratory data analysis projects. We will cover the following topics in this chapter:

Analyzing the mean of a dataset
Checking the median of a dataset
Identifying the mode of a dataset
Checking the variance of a dataset
Identifying the standard deviation of a dataset
Generating the range of a dataset
Identifying the percentiles of a dataset...

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Authors (1)

Ayodele Oluleye

Ayodele Oluleye

Ayodele is a data professional with nearly a decade of experience. Throughout his career, he has gained valuable experience in various domains such as strategy, data science and more recently data management. Previously, he served as a consultant at a big 4 consulting firm, where he successfully provided data-driven solutions and insights to clients. Currently, he holds a leadership position at a financial services group where he leads a dynamic data team, driving analytics initiatives to empower the organization. Beyond his professional endeavors, he is passionate about sharing his knowledge and experience. You can find him actively engaging with the data community through insightful articles on LinkedIn and speaking at industry events.

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