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Predicting rideshare demand at scale can be challenging because it involves integrating diverse datasets from various databases, data lakes, and warehouses, including rideshare trip records, sociodemographic information, road networks, and environmental attributes. withColumn("bin", ST.h3_bins(F.col("point"), 8)).withColumn("bins",
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