Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visu

Description: Exploratory Data Analysis with Python Cookbook by Ayodele Oluleye Extract valuable insights from data by leveraging various analysis and visualization techniques with this comprehensive guide Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesGain practical experience in conducting EDA on a single variable of interest in PythonLearn the different techniques for analyzing and exploring tabular, time series, and textual data in PythonGet well versed in data visualization using leading Python libraries like Matplotlib and seabornBook DescriptionIn todays data-centric world, the ability to extract meaningful insights from vast amounts of data has become a valuable skill across industries. Exploratory Data Analysis (EDA) lies at the heart of this process, enabling us to comprehend, visualize, and derive valuable insights from various forms of data.This book is a comprehensive guide to Exploratory Data Analysis using the Python programming language. It provides practical steps needed to effectively explore, analyze, and visualize structured and unstructured data. It offers hands-on guidance and code for concepts such as generating summary statistics, analyzing single and multiple variables, visualizing data, analyzing text data, handling outliers, handling missing values and automating the EDA process. It is suited for data scientists, data analysts, researchers or curious learners looking to gain essential knowledge and practical steps for analyzing vast amounts of data to uncover insights.Python is an open-source general purpose programming language which is used widely for data science and data analysis given its simplicity and versatility. It offers several libraries which can be used to clean, analyze, and visualize data. In this book, we will explore popular Python libraries such as Pandas, Matplotlib, and Seaborn and provide workable code for analyzing data in Python using these libraries.By the end of this book, you will have gained comprehensive knowledge about EDA and mastered the powerful set of EDA techniques and tools required for analyzing both structured and unstructured data to derive valuable insights.What you will learnPerform EDA with leading python data visualization librariesExecute univariate, bivariate and multivariate analysis on tabular dataUncover patterns and relationships within time series dataIdentify hidden patterns within textual dataLearn different techniques to prepare data for analysisOvercome challenge of outliers and missing values during data analysisLeverage automated EDA for fast and efficient analysisWho this book is forWhether you are a data analyst, data scientist, researcher or a curious learner looking to analyze structured and unstructured data, this book will appeal to you. It aims to empower you with essential knowledge and practical skills for analyzing and visualizing data to uncover insights.It covers several EDA concepts and provides hands-on instructions on how these can be applied using various Python libraries. Familiarity with basic statistical concepts and foundational knowledge of python programming will help you understand the content better and maximize your learning experience. FORMAT Paperback CONDITION Brand New Author Biography 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. Table of Contents Table of ContentsGenerating Summary StatisticsPreparing Data for EDAVisualising Data in PythonPerforming Univariate Analysis in PythonPerforming Bivariate analysis in PythonPerforming Multivariate analysis in PythonAnalysing Time Series dataAnalysing Text dataDealing with Outliers and Missing valuesPerforming Automated EDA in Python Details ISBN1803231106 Author Ayodele Oluleye Pages 382 Publisher Packt Publishing Limited Year 2023 ISBN-13 9781803231105 Format Paperback Publication Date 2023-06-30 Imprint Packt Publishing Limited Subtitle Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data Place of Publication Birmingham Country of Publication United Kingdom DEWEY 005.7 Audience General UK Release Date 2023-06-30 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 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