Good data will contain a signal about the phenomena that you're trying to model. For instance, somebody who's trying to forecast demand for products, like a merchant, might track the number of sales that they've had over the past. But they might forget to log when they were out of stock on various products. If you're trying to forecast demand, it's also really important to know when you were out of stock.
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