# Dauphine - Data Science - Acquisition — Data

来源：https://www.kaggle.com/competitions/dauphine-datascience-ecommerce-2021-1/data

采集时间：2026-10-19T16:11:47Z

# [train|test]

One row = one product on one given day

 - `s_date`, `s_product` : primary key
 - `s_brand`: brand of the product
 - `s_family`: highest level category  on the website (Gardening, Tools, ...)
 - `s_lowest_category`: lowest level category on the website (Drills, swimming pools, ...)
 - `s_provider`: seller of the product
 - `s_retail_price`: observed retail price
 - `s_shipping_time`: estimated shipping time
 - `s_weight`: weight of the product
 - `m_nb_ratings`: number of ratings of the product
 - `m_avg_rating`: average rating of the product
 - `m_has_pdf`: product has a pdf documentation
 - `m_length_description`: length of the product description
 - `m_unit_price_vat_inc`: product price including VAT
 - `m_nb_images`: number of images of the product on the website
 - `m_total_vu`: number of views of the product page (not present in test set)
 - `conversion_rate` : `m_total_transaction / m_total_vu` (our target not present in test set)

Note that you can access the number of orders by multiplying `m_total_vu` and `conversion_rate`