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Countless factors affect online shopping, many of which aren't well known, classified or understood. Much like the climate system, online sales vary across different time periods — year, month, week, day, hour — with smaller levels of variability often dismissed as so much "noise." iPads might be trending one day and blenders the next, but over a month-long period, maybe it's towels that are the top seller. Yet what if we could really examine this noise? Isolate it? Explain it?
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