Visualization of CLT using Hypothetical data

Trabajo final seminario de investigaciòn cuantitativa

Nama : Markus Perdana Sipayung NIM : 2404010014 Mata Kuliah : Pemodelan Statistika dan Simulasi

A basic code through to get you started with [ape].

This document is directed towards a student audience familiar with coding in R but with no or little background in quantum information science and technology.

This project delivers a scalable analytical framework in R to model, track, and visualize Customer Lifetime Value (LTV) via cohort analysis. By normalizing raw transaction dates into unified operational timelines, this model isolates margin compounding and defines strategic marketing thresholds.