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Dataset aggregates info on food spending habits using 3 million grocery orders

Center for Data Innovation – “Online grocery service Instacart has published a dataset containing information on 3 million grocery orders from more than 200,000 de-identified users from 2017. The dataset contains information on what products users purchased, the sequence they bought them in, when they placed the order, and the amount of time between Instacart orders. Instacart is releasing this dataset in the hopes that others will use it to develop algorithms that can predict what items shoppers will buy again or may be interested in.”

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