The `replace_na()` function is a helpful tool in R, particularly within the tidyverse ecosystem, that allows users to replace missing values in a dataset with specified values. This function is crucial for data cleaning and preparation, ensuring that analyses can be performed without issues arising from NA values. By utilizing `replace_na()`, users can enhance data integrity and readability, which are essential for effective visualization and interpretation.
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