Learn how to reshape data effectively using R, including the concepts of long and wide formats, practical examples, and the use of packages like tidyr and reshape2. Explore converting data from long to wide formats, handling measured variables, and transitioning back to long format seamlessly.

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Exploring concepts of tidy data and data cleaning techniques using dplyr, tidyr, and R Markdown. Learn how to tidy messy datasets, solve common data problems, and transform data for analysis. Dive into examples and practical tips for efficient data manipulation.

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