R Programming for Statistics and Data Science - Tidying Data in R - gather() and separate()

The video tutorial introduces the concept of tidy data, emphasizing its role in data cleaning and analysis. It explains the tidyr package, part of the tidyverse, which offers tools like gather and separate to organize data efficiently. The gather function is demonstrated using a Billboard dataset, showing how to convert values in column names into a tidy format. The separate function is then used on a World Health Organization dataset to split multiple variables in a single column. The tutorial highlights the importance of tidy data and provides practical examples of tidying techniques.

How can messy data affect the analysis process?

What are some examples of messy data mentioned in the text?

What is the purpose of the separate function in tidyr?