Hands-on exploratory data analysis with python perform EDA techniques to understand, summarize, and investigate your data

By:

Mukhiya, Suresh Kumar

Contributor(s):

Usman Ahmed

Language: English Publication details: Packt c2020 Birmingham, UK :Description: vii, 336 p. : ill. 23 cmISBN:

9781789537253

Subject(s):

Data mining; Electronic book; Electronic data processing Distributed processing

DDC classification:

005.133 P MUK

Summary: Exploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain insights into a dataset. This book will help you gain practical knowledge of the main pillars of EDA - data cleaning, data preparation, data exploration, and data visualization. You’ll start by performing EDA using open source datasets and perform simple to advanced analyses to turn data into meaningful insights. You’ll then learn various descriptive statistical techniques to describe the basic characteristics of data and progress to performing EDA on time-series data.

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Holdings
Item type	Current library	Call number	Status	Barcode
Reference	Anna Centenary Library 3RD FLOOR, A WING	005.133P SUR (Browse shelf(Opens below))	Not for loan	687606
Reference	Anna Centenary Library 3RD FLOOR, A WING	005.133P SUR;1 (Browse shelf(Opens below))	Not for loan	687607

Includes index

Exploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain insights into a dataset. This book will help you gain practical knowledge of the main pillars of EDA - data cleaning, data preparation, data exploration, and data visualization. You’ll start by performing EDA using open source datasets and perform simple to advanced analyses to turn data into meaningful insights. You’ll then learn various descriptive statistical techniques to describe the basic characteristics of data and progress to performing EDA on time-series data.

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Hands-on exploratory data analysis with python perform EDA techniques to understand, summarize, and investigate your data

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