Datar / Garg Hands-On Exploratory Data Analysis with R

Become an expert in exploratory data analysis using R packages
1. Auflage 2024
ISBN: 978-1-78980-208-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 266 Seiten

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skillsKey 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 DescriptionHands-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.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
Who this book is forHands-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.

Autoren/Hrsg.

Datar, Radhika

Garg, Harish

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - Setting Up Our Data Analysis Environment
- Importing Diverse Datasets
- Examining, Cleaning, and Filtering
- Visualizing Data Graphically with ggplot2
- Creating Aesthetically Pleasing Reports with knitr and R Markdown
- Univariate and Control Datasets
- Time Series Datasets
- Multivariate Datasets
- Multi-Factor Datasets
- Handling Optimization and Regression Data Problems
- Next Steps

Über Autor(innen)

Datar Radhika :

Radhika Datar has more than 5 years' experience in software development and content writing. She is well versed in frameworks such as Python, PHP, and Java, and regularly provides training on them. She has been working with Educba and Eduonix as a training consultant since June 2016, while also working as a freelance academic writer in data science and data analytics. She obtained her master's degree from the Symbiosis Institute of Computer Studies and Research and her bachelor's degree from K. J. Somaiya College of Science and Commerce.Garg Harish :

BignumWorks Software LLP is an India-based software consultancy that provides consultancy services in the area of software development and technical training. Our domain expertise includes web, mobile, cloud app development, data science projects, in-house software training services, and up-skilling services