This program is to analyze the Online Retail dataset from the UCI Machine Learning Repository (http://archive.ics.uci.edu/ml/datasets/Online+Retail).
The program sorted the dataset by the RFM score, which indicates the importance value of each individual customers.
The Jupyter notebook was compiled on Anaconda, JupyterLab and Python 3.8 environment.
Daqing Chen, Sai Liang Sain, and Kun Guo, Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining, Journal of Database Marketing and Customer Strategy Management, Vol. 19, No. 3, pp. 197–208, 2012 (Published online before print: 27 August 2012. doi: 10.1057/dbm.2012.17).