Hands-On Exploratory Data Analysis with Python: Perform EDA techniques to understand, summarize, and investigate your data

Category: Technical

Tag: Perl/PHP/Python


Posted on 2020-04-03, by books_lover.

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Hands-On Exploratory Data Analysis with Python: Perform EDA techniques to understand, summarize, and investigate your data
Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and pandas Key Features Understand the fundamental concepts of exploratory data analysis using Python Find missing values in your data and identify the correlation between different variables Practice graphical exploratory analysis techniques using Matplotlib and the Seaborn Python package Book Description 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
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