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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

Discussing multivariate analysis using the Titanic dataset

On April 15, 1912, the largest passenger liner ever made at the time collided with an iceberg during her maiden voyage. When the Titanic sank, it killed 1,502 out of 2,224 passengers and crew. The titanic.csv (https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv) file contains data for 887 real Titanic passengers. Each row represents one person. The columns describe different attributes about the person in the ship where the PassengerId column is a unique ID of the passenger, Survived is the number that survived (1) or died (0), Pclass is the passenger's class (that is, first, second, or third), Name is the passenger's name, Sex is the passenger's sex, Age is the passenger's age, Siblings/Spouses Aboard is the number of siblings/spouses aboard the Titanic, Parents/Children Aboard...

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