Contribuições do Centro de Excelência em Tecnologias para Transição Energética (CETTE) ao primeiro painel do “Workshop Combustível Sustentável de Aviação e Diesel Verde”.

This analysis applies hierarchical clustering and k-means clustering to the SURVEY10 dataset using RStudio to identify distinct student segments. The goal is to develop data-driven marketing strategies for a new dating app based on behavioral and demographic insights. Using dplyr, tidyverse, and ggplot2, we preprocess the data, determine optimal clusters, and visualize segment characteristics. The final report presents key findings, segmentation rationale, and two targeted marketing strategies tailored to the identified clusters. The results provide actionable insights to enhance user engagement and app adoption among different student groups.

This documentation contains Assignment 1 of the course R for Finance offered by Brac Business School

Game of Thrones