Context The provided dataset has information on 100k orders from 2016 to 2018 from a large e�commerce market place. Its features allow you to view an order from multiple dimensions : order status, product attributes, price, etc. The merchants are able to sell their products through the marketplace and ship them directly to the customers.
- customers_dataset.csv : This dataset groups the customers information (customer id and geolocation information). There are duplicate customer_unique_id, because the dataset is per order. Where client_id is the key to the order dataset. Each order has a unique client_id.
- orders_dataset.csv : This dataset groups the order information (customer, order status, tracking in time), identified by a unique order_id and attached to a customer by the customer_id.
- order_items_dataset.csv : This dataset groups order information related to each product purchased (product id, quantity = order_item_id, price of product, etc.)
- products_dataset.csv : This dataset gathers the product categories as well as various characteristics of dimensions and weight of each product.
- product_category_name.csv : Translated product category in English
dataset can be found in the folder, two ipynb files are the code