Which data is removed with the RemoveZeros function?

The RemoveZeros function is specifically designed to eliminate both zeros and instances of no data from a dataset. This functionality is essential in data analysis, as it helps streamline data sets by removing irrelevant or uninformative entries, allowing for a clearer focus on non-zero and meaningful values.

By removing zeros, which can often represent a lack of activity or value in financial data, as well as any entries that have no data available, analysts can ensure that their datasets reflect only the relevant figures necessary for accurate reporting and analysis. This improves the quality and clarity of data visualizations and summaries.

The other options do not fully capture the scope of the RemoveZeros function. While some of them may mention removing zeros, they do not account for the removal of instances with no data, which is also a critical aspect of the function's operation. Therefore, the correct understanding and application of the RemoveZeros function encompass both zeros and no data, validating that the answer is indeed comprehensive.