A data story about the financial and mental health crisis facing international students in Australia

114034050 Yesuigen Temuujin

Do you need complex parameter passing? A mixture of linear and logged units? Parameter limits? Palm it off to the ParmOff package!

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This is a Synthetic Data Pre-Analysis for Risk Presentation Format and Investment Risk Appetite: A Replication and Extension of Kaufmann, Weber, and Haisley (2013)

Laboratorio # 2 Cobertura de futuros Mariana Lujan J David G zapata

This project delivers a comprehensive Customer Value Segmentation analysis for our online education platform, utilizing transaction data spanning 9,935 orders across a 12-month period (January 1, 2019 – December 31, 2019). By implementing a Recency, Frequency, and Monetary (RFM) framework, the analysis moves past aggregated metrics to map true student and institutional behavior. The objective is to transition from uniform marketing to high-precision, automated B2C workflows and high-touch B2B account management.