About this file
The Kaggle Global Superstore dataset is a comprehensive dataset containing information about sales and orders in a global superstore. It is a valuable resource for data analysis and visualization tasks. This dataset has been processed and transformed from its original format (txt) to CSV using the R programming language. The original dataset is available here, and the transformed CSV file used in this analysis can be found here.
Here is a description of the columns in the dataset:
category: The category of products sold in the superstore.
city: The city where the order was placed.
country: The country in which the superstore is located.
customer_id: A unique identifier for each customer.
customer_name: The name of the customer who placed the order.
discount: The discount applied to the order.
market: The market or region where the superstore operates.
ji_lu_shu: An unknown or unspecified column.
order_date: The date when the order was placed.
order_id: A unique identifier for each order.
order_priority: The priority level of the order.
product_id: A unique identifier for each product.
product_name: The name of the product.
profit: The profit generated from the order.
quantity: The quantity of products ordered.
region: The region where the order was placed.
row_id: A unique identifier for each row in the dataset.
sales: The total sales amount for the order.
segment: The customer segment (e.g., consumer, corporate, or home office).
ship_date: The date when the order was shipped.
ship_mode: The shipping mode used for the order.
shipping_cost: The cost of shipping for the order.
state: The state or region within the country.
sub_category: The sub-category of products within the main category.
year: The year in which the order was placed.
market2: Another column related to market information.
weeknum: The week number when the order was placed.
This dataset can be used for various data analysis tasks, including understanding sales patterns, customer behavior, and profitability in the context of a global superstore.