A retailer wants to build a model that predicts future inventory needs using each product's daily sales figures collected over the past 2 years. According to common AI data classifications, what type of data best describes these daily sales records?
Text data
Image data
Time-series data
Tabular data
Daily sales values are observations recorded at consistent, ordered time intervals (one record per day). Such datasets are categorized as time-series data because their primary characteristic is the temporal ordering that must be preserved for analysis or modeling. Tabular data refers to independent rows that need not be ordered in time, image data stores pixel grids, and text data contains natural language strings; none of these capture the sequential time component intrinsic to the retailer's dataset.
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