Australian education and housing data story

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Fase 3 analise de dados

Predicting Physically Unhealthy Days and Heart Disease Risk Classification Using Personal Health Indicators Among US Adults

This report presents an exploratory analysis of the SwiftKey text prediction dataset. The analysis includes data cleaning, word frequency analysis, bigram and trigram exploration, and insights used for developing a predictive text model for the final Shiny application.

This presentation demonstrates the development of a next-word prediction application using R and Shiny. It explains the prediction algorithm, application features, deployment process, and future opportunities for enhancement using advanced n-gram language models.