Dataset: E-commerce Big Dataset From Multi Category (60k+)

About this Dataset

E-commerce Big Dataset From Multi Category (60k+)

Asos is the biggest Fashion platform in the USA.
An eCommerce big dataset from a multi-category refers to a collection of information that has been gathered from various online stores across multiple product categories. This dataset contains over 60,000 data points and includes information such as product names, prices, descriptions, categories, and user reviews.

The dataset can be used to analyze consumer behavior and trends across various product categories, such as electronics, fashion, home and garden, sports, and many more. It can also be used to train machine learning models for various applications, such as product recommendation systems, demand forecasting, and price optimization.

Tables

Asosmenfashion

@kaggle.imrulhasanrobi_e_commerce_big_dataset_from_multi_category.asosmenfashion

19.35 KB
17568 rows
10 columns


CREATE TABLE asosmenfashion (
  "product_id" BIGINT,
  "brand_name" VARCHAR,
  "title" VARCHAR,
  "current_price" DOUBLE,
  "previous_price" DOUBLE,
  "colour" VARCHAR,
  "currency" VARCHAR,
  "rrp" DOUBLE,
  "productcode" BIGINT,
  "producttype" VARCHAR
);

Asoswomenfashion

@kaggle.imrulhasanrobi_e_commerce_big_dataset_from_multi_category.asoswomenfashion

34.88 KB
43632 rows
10 columns


CREATE TABLE asoswomenfashion (
  "product_id" BIGINT,
  "brand_name" VARCHAR,
  "title" VARCHAR,
  "current_price" DOUBLE,
  "previous_price" DOUBLE,
  "colour" VARCHAR,
  "currency" VARCHAR,
  "rrp" DOUBLE,
  "productcode" BIGINT,
  "producttype" VARCHAR
);