In this tutorial, we analyze the retail expansion strategy for In-N-Out Burger using R.

Neste trabalho, foi realizada uma análise de churn utilizando Modelos Lineares Generalizados (MLG) com um conjunto de dados de uma empresa de telecomunicações. Foram examinadas variáveis como idade, tipo de contrato, serviços utilizados (internet, segurança online, streaming) e métodos de pagamento para identificar fatores que influenciam o cancelamento de clientes. O modelo estimou as probabilidades de churn, destacando que contratos mais longos e suporte técnico reduzem o cancelamento, enquanto internet de fibra e cheque eletrônico estão associados a maiores chances de saída. Os insights obtidos orientam estratégias para aumentar a retenção de clientes.

Statistical modeling final for MSDA Fall 2024

Abstract Severe weather events impose substantial health and economic burdens on communities and municipalities. Given the scale of these impacts, it is crucial to analyze data on fatalities, injuries, and property damage to inform the development of effective response protocols. This study examines the dataset provided by the U.S. National Oceanic and Atmospheric Administration (NOAA) Storm Database. The analysis reveals that tornadoes are the leading cause of adverse health outcomes, while floods are the primary drivers of economic losses.

This is my project analyzing water quality data for the Sammamish river. Specifically looking at sample replicants and then doing further analysis based on this.

The Analysis of a data set containing details of patients in a particular hospital called Central Hospital, in relation to peculiar situations of each patient and whether they recovered or died