运动鞋new行业商家当日支付子订单数实时分析数据

统计对比分析昨日和今日，本行业商家店铺的支付子订单数。当日用户在商家店铺下单并支付的子订单数量；对统计周期内商家店铺的支付子订单数量进行加总。支付子订单数也被称为支付笔数，每个商品每个SKU粒度为一个子订单。当日用户在商家店铺下单并支付的子订单数量；对统计周期内商家店铺的支付子订单数量进行加总。支付子订单数也被称为支付笔数，每个商品每个SKU粒度为一个子订单。
昨日全天用户在商家店铺下单并支付的子订单数量；按支付时间对店铺内子订单数量进行加总。
分实时、日、周、月等不同周期的展示同比数据。

This dataset conducts statistical comparative analysis of the paid sub-order counts of merchant stores in the same industry between yesterday and today. The paid sub-order count refers to the number of sub-orders for which users placed orders and completed payments at merchant stores on the current day, which is the total of paid sub-order counts of merchant stores within the statistical cycle. Paid sub-order count is also known as payment transaction volume, where each SKU of a single product counts as one sub-order. The paid sub-order count refers to the number of sub-orders for which users placed orders and completed payments at merchant stores on the current day, which is the total of paid sub-order counts of merchant stores within the statistical cycle. Paid sub-order count is also known as payment transaction volume, where each SKU of a single product counts as one sub-order. The number of paid sub-orders from users at merchant stores throughout yesterday is the total count of in-store sub-orders aggregated by payment time. Year-on-year data is displayed across different time cycles including real-time, daily, weekly, and monthly.