[ FreeCourseWeb ] Hands-On Exploratory Data Analysis with R

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[ FreeCourseWeb.com ] Hands-On Exploratory Data Analysis with R

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May 31, 2019 | English | ASIN: B07SJZ55JY | 266 pages | EPUB | 3.33 MB
Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills

Key Features
Speed up your data analysis projects using powerful R packages and techniques
Create multiple hands-on data analysis projects using real-world data
Discover and practice graphical exploratory analysis techniques across domains
Book Description
Hands-On Exploratory Data Analysis with R will help you build not just a foundation but also expertise in the elementary ways to analyze data. You will learn how to understand your data and summarize its main characteristics. You'll also uncover the structure of your data, and you'll learn graphical and numerical techniques using the R language.

This book covers the entire exploratory data analysis (EDA) process—data collection, generating statistics, distribution, and invalidating the hypothesis. As you progress through the book, you will learn how to set up a data analysis environment with tools such as ggplot2, knitr, and R Markdown, using tools such as DOE Scatter Plot and SML2010 for multifactor, optimization, and regression data problems.

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[ FreeCourseWeb ] Hands-On Exploratory Data Analysis with R


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