A significant volume of data, precisely 450 entries, met predefined criteria on this date. This could represent, for example, the number of leads generated by a marketing campaign, the successful outcomes of a scientific experiment, or the items matching a specific search query. The specificity of the data signifies a focused and potentially valuable subset from a larger pool of information. This refinement allows for deeper analysis and more targeted action based on the qualified results.
Filtering data to obtain a specific number of qualified entries provides several key advantages. It allows for manageable data analysis, facilitates efficient resource allocation, and enables evidence-based decision-making. Historically, the ability to define and isolate such precise data sets represents a significant advancement in information processing. The quantity signifies a substantial body of relevant data, suggesting robust activity or considerable interest in the subject at hand. The ability to distill this information is crucial for understanding trends, identifying opportunities, and maximizing efficiency in various fields.