Santiago Escobar Manrique Universidad Santiago de Cali

Welcome to the enlightening world of customer churn analysis with R! In this RPubs publication, I look into the interesting world of customer behaviour research, specifically churn prediction within a telecommunications corporation. Churn analysis is an important task for firms in many industries because knowing why customers leave or stay may have a substantial impact on strategic decision-making, revenue generation, and customer retention efforts. Using the capabilities of R programming and data visualization with ggplot2, I investigated the factors influencing customer attrition and discovered significant insights that may inspire targeted business strategy. Join me on this exploration as I analyze customer demographics, contract types, monthly prices, total charges, and other factors to acquire a thorough understanding of customer turnover behaviour. Whether you're a data enthusiast, business analyst, or industry professional, this magazine contains essential insights and effective techniques for improving client retention and driving business success. Let's dig in and discover the secrets hidden in the data!

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