Скачать или смотреть How to Rename Countries in a Dataset: Solving Issues with Egypt, Arab Rep.

Learn how to effectively rename countries in your dataset using R programming, including common pitfalls and practical solutions.
---
This video is based on the question https://stackoverflow.com/q/74330146/ asked by the user 'Joe' ( https://stackoverflow.com/u/18338223/ ) and on the answer https://stackoverflow.com/a/74330254/ provided by the user 'John Manacup' ( https://stackoverflow.com/u/19655587/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Renaming names in a dataset with commas and fullstops

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Rename Countries in a Dataset: Solving Issues with Egypt, Arab Rep.

When working with datasets, it's quite common to encounter issues with inconsistent naming conventions for countries. A specific example often arises when we attempt to rename entries like "Egypt, Arab Rep." to just "Egypt." This seemingly straightforward task can lead to frustrating errors.

In this guide, we'll delve into the steps to effectively rename countries in your dataset, ensuring clarity and accuracy without facing common pitfalls.

Understanding the Problem

In your dataset, you might have data structured like this:

[[See Video to Reveal this Text or Code Snippet]]

The goal here is to rename the countries for better consistency in analysis. However, if you attempt to run the following code using the rename function from the dplyr package:

[[See Video to Reveal this Text or Code Snippet]]

you may encounter an error message:

[[See Video to Reveal this Text or Code Snippet]]

The issue arises because you're trying to rename values within a column, rather than renaming the column itself.

The Solution: Using dplyr::mutate and case_when

To effectively rename values in a column, we should utilize the mutate function combined with case_when. Here’s how to approach this:

Step-by-Step Guide to Renaming

Load Necessary Library: First, ensure you have the dplyr library loaded.

[[See Video to Reveal this Text or Code Snippet]]

Create Your Data Frame: Start by creating your data frame as follows:

[[See Video to Reveal this Text or Code Snippet]]

Using mutate and case_when: Now, you can rename countries using the case_when function. The code looks like this:

[[See Video to Reveal this Text or Code Snippet]]

Result

After running the above code, your dataset will look like this:

[[See Video to Reveal this Text or Code Snippet]]

Now, the countries have been successfully renamed without encountering any errors!

Conclusion

Renaming values in a dataset might initially seem tricky, especially with complex labels involving commas or periods. By using dplyr's mutate and case_when, you can handle these transformations efficiently. Always remember to verify your changes to ensure data integrity.

If you encounter issues while renaming datasets, refer back to these steps for a clear way to resolve them. Happy coding!