Superstore-Sales-Dataset
OpenML dataset with id 43383
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102208/Superstore-Sales-Dataset.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 18 (numeric: 3, symbolic: 0 and in total binary: 0 )
Number of instances: 9,800
Number of instances with missing values: 11
Number of missing values: 11
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!
This page was built for dataset: Superstore-Sales-Dataset
