In the context of data creation, what is the purpose of filtering out files with oversized text?

Filtering out files with oversized text addresses the need to maintain data quality and relevance. When dealing with vast amounts of information, such as in e-discovery or data analysis contexts, oversized text files can introduce noise that detracts from the overall quality of the data set. By removing these files, you ensure that the information being analyzed is more manageable and pertinent to the specific objectives at hand.

Oversized text files may contain extraneous information that does not contribute meaningfully to the analysis or could even lead to skewed insights due to their disproportionate influence. Therefore, maintaining a focus on relevant, high-quality data is essential for accurate analysis and effective decision-making. This approach enhances the efficiency of analysis while improving the integrity of the insights derived from the data.