The online market, a multinational business, managed a diverse portfolio of grocery stores across the United States, Canada, and Mexico, with a focus on expansion and operational diversity.

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The project aimed to employ time series forecasting techniques to predict sales and profit, leveraging the patterns and characteristics extracted from the time series analysis of the superstore's historical data.

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The dataset comprises monthly Uber pick-up records from April to July 2014, supplemented by additional data providing corresponding weather information for the same period.

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