DATA WRANGLING WITH R AND TIDYVERSE: CLEAN, TRANSFORM, AND STRUCTURE REAL-WORLD DATA FOR ANALYSIS AND MACHINE LEARNING (REAL-WORLD DATA SCIENCE WITH R)

Turn messy data into powerful insights using R and the Tidyverse.In the world of data science, the biggest challenge is rarely the analysis itself it is preparing the data. Real-world datasets are often incomplete, inconsistent, and difficult to work with. Before meaningful insights can be extracted, data must be cleaned, structured, and transformed into a format suitable for analysis.Data Wrangling with R and Tidyverse is a practical guide designed to help analysts, data scientists, students, and professionals master the essential skills of data preparation using the R programming language.This book provides a step-by-step approach to cleaning messy datasets, transforming raw data into structured formats, and building efficient workflows using the powerful Tidyverse ecosystem.Through clear explanations and practical examples, readers will learn how to work with real-world data and prepare it for advanced analytics and machine learning applications.Inside this book, you will learn how to:• Import and organize real-world datasets from multiple sources• Clean messy data by handling missing values, duplicates, and inconsistencies• Transform and manipulate data using dplyr• Reshape datasets using tidyr and tidy data principles• Process and standardize string and text data• Work with date and time variables for time-based analysis• Merge and join datasets from multiple sources• Build automated data wrangling workflows for reproducible analysisThe book focuses on practical techniques used in modern data science, making it ideal for anyone who wants to work efficiently with data in R.Whether you are a beginner learning data science or a professional analyst looking to improve your data preparation skills, this guide provides the tools needed to transform raw data into meaningful insights.By the end of this book, you will be able to confidently clean, transform, and structure datasets using R and the Tidyverse laying the foundation for powerful data analysis and machine learning projects. Read more