Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data 1st Edition Oluleye

Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data – Ebook Instant Download/Delivery ISBN(s): 9781803231105,1803231106,9781803231995,1803238806

Product details:

• ISBN-10 ‏ : ‎ 1803231106
• ISBN-13 ‏ : ‎ 978-1803231105
• Author(s): Oluleye, Ayodele

Exploratory data analysis (EDA) is a crucial step in data analysis and machine learning projects as it helps in uncovering relationships and patterns and provides insights into structured and unstructured datasets. With various techniques and libraries available for performing EDA, choosing the right approach can sometimes be challenging. This hands-on guide provides you with practical steps and ready-to-use code for conducting exploratory analysis on tabular, time series, and textual data.

The book begins by focusing on preliminary recipes such as summary statistics, data preparation, and data visualization libraries. As you advance, you’ll discover how to implement univariate, bivariate, and multivariate analyses on tabular data. Throughout the chapters, you’ll become well versed in popular Python visualization and data manipulation libraries such as seaborn and pandas.

By the end of this book, you will have mastered the various EDA techniques and implemented them efficiently on structured and unstructured data.

Table contents:

Generating Summary Statistics

• Preparing Data for EDA

• Visualising Data in Python

• Performing Univariate Analysis in Python

• Performing Bivariate analysis in Python

• Performing Multivariate analysis in Python

• Analysing Time Series data

• Analysing Text data

• Dealing with Outliers and Missing values

• Performing Automated EDA in Python

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