This is a presentation demonstrating the nextWordPredict app for Data Science Specialisation capstone project on coursera by JHU

This project covers the full data science lifecycle in R, starting with workspace organization and data cleaning to prepare a Spotify dataset for analysis. I explored the data through visualizations and descriptive statistics to understand the distribution of musical features like energy and loudness. I then performed a correlation analysis to map how these acoustic traits relate to song popularity. Finally, I built a predictive regression model using a 70/30 training and testing split to forecast a track's success, evaluating the results through R-squared and accuracy metrics.

Homework 2 for Data 101

Este documento corresponde a mi primera publicación en RPubs y contiene el desarrollo del Taller 4 de Programación, donde se aplican conceptos básicos del lenguaje R como estructuras condicionales, vectores y tipos de datos.

esta es una prueba para presentación de la actividad 2 para publicar

Este documento presenta un estudio estadístico detallado que incluye la resolución de sistemas de ecuaciones y modelos de regresión aplicados

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