Overview

This book helps learners:

• Develop practical data-wrangling skills using the tidyverse
• Apply reproducible project structures for consistent analysis
• Work with tidy data principles
• Read, clean, reshape, and join datasets
• Use strings, dates, and regular expressions in data cleaning
• Create clear tables, figures, and analysis outputs
• Communicate results through R Markdown, bookdown, dashboards, and storyboards

The goal is not advanced statistical modelling. Instead, the emphasis is on building reliable workflows that support clear, organized, and reproducible analysis.

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