書籍詳情
格式
平裝書
頁數
266
語言
英語
已出版
May 31, 2019
出版商
Packt Publishing
ISBN-10
178980437X
ISBN-13
9781789804379
描述
Radhika Datar and Harish Garg present a comprehensive guide to exploratory data analysis (EDA) using R, designed for individuals eager to deepen their understanding of data interpretation and visualization. The authors break down complex concepts into digestible segments, ensuring that both beginners and seasoned statisticians can gain invaluable insights. Through detailed examples and hands-on exercises, readers will learn how to manipulate data, visualize patterns, and draw meaningful conclusions.
The book emphasizes practical application, encouraging readers to engage directly with R packages to explore diverse datasets. Readers will find a wealth of techniques that streamline the analysis process, making it easier to uncover insights that drive decision-making. The authors’ approachable style demystifies the subject matter, fostering an engaging learning experience.
By the end of this insightful journey, readers will not only gain mastery over exploratory data analysis but also develop the confidence to approach real-world data challenges with a critical and analytical mindset. With the guidance of Datar and Garg, embarking on this path to becoming an expert in EDA has never been more accessible or enjoyable.
The book emphasizes practical application, encouraging readers to engage directly with R packages to explore diverse datasets. Readers will find a wealth of techniques that streamline the analysis process, making it easier to uncover insights that drive decision-making. The authors’ approachable style demystifies the subject matter, fostering an engaging learning experience.
By the end of this insightful journey, readers will not only gain mastery over exploratory data analysis but also develop the confidence to approach real-world data challenges with a critical and analytical mindset. With the guidance of Datar and Garg, embarking on this path to becoming an expert in EDA has never been more accessible or enjoyable.
類型
科學與技術
商業與經濟