/Ecommerce

Primary LanguageJupyter NotebookMIT LicenseMIT

eCommerce Dataset

This repository contains a CSV file that provides data related to eCommerce transactions. The dataset includes information about products, customers, orders, and other relevant attributes. It can be used for various analyses, research, and modeling tasks related to eCommerce businesses.

Dataset

The dataset is provided in CSV (Comma-Separated Values) file format, which is a commonly used format for tabular data. The file includes multiple columns, each representing a specific attribute, and rows corresponding to individual transactions or records.

Please note that the dataset may contain sensitive information, such as customer details or payment information. Ensure that you handle and use the dataset in compliance with data privacy and security regulations.

Usage

You can utilize this dataset for various purposes, including:

  • Analyzing customer behavior, preferences, and purchase patterns.
  • Studying product performance, sales trends, and inventory management.
  • Developing recommender systems or personalized marketing strategies.
  • Conducting market research and competitive analysis.
  • Building predictive models for sales forecasting or customer segmentation.

To use the dataset, you can either download the CSV file directly from this repository or clone the entire repository to your local machine. Once you have the dataset, you can import it into your preferred data analysis or programming environment (e.g., Python, R, Excel) and start exploring and analyzing the data.