Content

This data is collected from a Turkish retail company. Time period is beginning from 2017 to the end of 2019.

File descriptions

• sales.csv - Train data. Daily sales data covering 2017-2019.
• product_hierarchy.csv - Data containing the hierarchy and sizes of the products.
• store_cities.csv - Data containing the city, type and size information of the stores.

Column descriptions

• store_id - The unique identifier of a store.
• product_id - The unique identifier of a product.
• date - Sales date (YYYY-MM-DD)
• sales - Sales quantity
• revenue - Daily total sales revenue
• stock - End of day stock quantity
• price - Product sales price
• promo_type_1 - Type of promotion applied on channel 1
• promo_bin_1 - Binned promotion rate for applied promo_type_1
• promo_type_2 - Type of promotion applied on channel 2
• promo_bin_2 - Binned promotion rate for applied promo_type_2
• promo_discount_2 - Discount rate for applied promo type 2
• promo_discount_type_2 - Type of discount applied
• product_length - Length of product
• product_depth - Depth of product
• product_width - Width of product
• hierarchy1_id
• hierarchy2_id
• hierarchy3_id
• hierarchy4_id
• hierarchy5_id
• storetype_id
• store_size
• city_id
• train_or_test - rows with train tag will be used to train KNNRegressor and rows with test tag will be used for accuracy calculation