The amount of space needed to archive digitized data is most impacted by:

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Multiple Choice

The amount of space needed to archive digitized data is most impacted by:

Explanation:
Data archiving space is driven by how many data points are produced each second. Each channel contributes samples per second equal to the sampling rate, so the overall data rate—and thus the file size—increases linearly with the sampling rate. If you raise the sampling rate, you generate more samples per second across all channels, which dramatically increases storage needs. Filter settings and epoch size can influence how the data is processed or organized, or how many samples you keep after processing, but they don’t push out the underlying data rate as much as changing the sampling rate does. In short, the sampling rate sets the baseline for how much data is created and stored.

Data archiving space is driven by how many data points are produced each second. Each channel contributes samples per second equal to the sampling rate, so the overall data rate—and thus the file size—increases linearly with the sampling rate. If you raise the sampling rate, you generate more samples per second across all channels, which dramatically increases storage needs. Filter settings and epoch size can influence how the data is processed or organized, or how many samples you keep after processing, but they don’t push out the underlying data rate as much as changing the sampling rate does. In short, the sampling rate sets the baseline for how much data is created and stored.

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