Why is it important to understand “tidy data” when it comes to cleaning data (chapter 2 topics)?

Read the “Tidy Data” article I uploaded. And answer these two questions:

• Identify four key takeaways that you gleaned from the Tidy Data article.
• Why is it important to understand “tidy data” when it comes to cleaning data (chapter 2 topics)?

For example, on page 13, the author writes “Once you have a tidy dataset, what can you do with it? Tidy day is only worthwhile if it makes analysis easier.” Why is that true?