This repository described the analysis process of an Online Retail Store using Python.
This project is conducted the analyze the sales performance of of the UK-base online retail business. The goal of analyzing sales performance is to gain insights into how well a business's products or services are performing in terms of generating revenue. This analysis aims to understand trends, patterns, and factors that influence sales over a specific period. By examining sales performance, businesses can identify strengths, weaknesses, opportunities, and potential areas for improvement within their sales strategies and operations.
To begin with, we use the dataset with the records of transactions that took place from December 1, 2010, to December 9, 2011, for a UK-based online retail business that operates without physical stores and is officially registered. The company specializes in selling distinctive gifts suitable for various occasions. A notable portion of the company's clientele consists of wholesale buyers.
We run python script to analyze the data and we use the following python libraries during the whole analysis process:
- Pandas
- Numpy
- Mathplotlib/Seaborn
CLICK HERE to view this project in Kaggle.