Name: Superstore Sales Dataset
Creator: Kaggle
License: https://www.gnu.org/licenses/gpl.html

About this Dataset

Superstore Sales Dataset

Context

Retail dataset of a global superstore for 4 years.
Perform EDA and Predict the sales of the next 7 days from the last date of the Training dataset!

Content

Time series analysis deals with time series based data to extract patterns for predictions and other characteristics of the data. It uses a model for forecasting future values in a small time frame based on previous observations. It is widely used for non-stationary data, such as economic data, weather data, stock prices, and retail sales forecasting.

Dataset

The dataset is easy to understand and is self-explanatory

Inspiration

Perform EDA and Predict the sales of the next 7 days from the last date of the Training dataset!

Tables

Train

@kaggle.rohitsahoo_sales_forecasting.train

395.1 kB
9,800 rows
18 columns

CREATE TABLE train (
  "row_id" BIGINT,
  "order_id" VARCHAR,
  "order_date" TIMESTAMP,
  "ship_date" TIMESTAMP,
  "ship_mode" VARCHAR,
  "customer_id" VARCHAR,
  "customer_name" VARCHAR,
  "segment" VARCHAR,
  "country" VARCHAR,
  "city" VARCHAR,
  "state" VARCHAR,
  "postal_code" DOUBLE,
  "region" VARCHAR,
  "product_id" VARCHAR,
  "category" VARCHAR,
  "sub_category" VARCHAR,
  "product_name" VARCHAR,
  "sales" DOUBLE
);