Hands-On Exploratory Data Analysis with R will help you build a strong foundation in data analysis and get well-versed with elementary ways to analyze data. You will learn how to understand your data and summarize its characteristics. You'll also study the structure of your data, and you'll explore 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 set up a data analysis environment with tools such as ggplot2, knitr, and R Markdown, using DOE Scatter Plot and SML2010 for multifactor, optimization, and regression data problems.
By the end of this book, you will be able to successfully carry out a preliminary investigation on any dataset, uncover hidden insights, and present your results in a business context.
publication date
2019-05-31
what you will learn
Learn effective R techniques that can accelerate your data analysis projects
Import, clean, and explore data using powerful R packages
Practice graphical exploratory analysis techniques
Create informative data analysis reports using ggplot2
Identify and clean missing and erroneous data
Explore data analysis techniques to analyze multi-factor datasets
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 *
approach
The approach of the book is to equip the reader with practical techniques to do advanced Hands-on Exploratory Data analysis on a wide variety of Datasets. Readers will be taught practical aspects of the powerful R packages suitable for EDA, skipping all the unnecessary and boring theoretical parts.
audience
Hands-On Exploratory Data Analysis with R is for data enthusiasts who want to build a strong foundation in data analysis. If you are a data analyst, data engineer, software engineer, or product manager, this book will sharpen your skills in the complete exploratory data analysis workflow.
short description
Hands-On Exploratory Data Analysis with R puts the complete process of exploratory data analysis into a practical demonstration in one nutshell. You will understand the concepts of data analysis right from data ingestion, data cleaning, data manipulation to applying statistical techniques and visualizing hidden patterns.
subtitle
Become an expert in exploratory data analysis using R packages
keywords
EDA, ggplot2, Data Modelling, Data Analysis
Product ISBN
9781789804379
