prueba 1

HABICOM

This presentation explains the design and implementation of a next-word prediction application built using R and Shiny. The project applies basic Natural Language Processing concepts and pattern-based logic inspired by N-gram models to predict the next word from a user-entered phrase. It also demonstrates how predictive algorithms can be deployed as interactive web-based data products using shinyapps.io.

This presentation explains the design and implementation of a next-word prediction application built using R and Shiny. The project applies basic Natural Language Processing concepts and pattern-based logic inspired by N-gram models to predict the next word from a user-entered phrase. It also demonstrates how predictive algorithms can be deployed as interactive web-based data products using shinyapps.io.

Organize R projects for volleyball analytics, manage file paths with the here package, and load DVW files efficiently. Covers project setup, folder structure, data validation, and working with DataVolley play-by-play data.

Does the "Modern Holiday Classic" actually exist, or are we living in an era of quantity over quality? This research project analyzes over 80 years of holiday cinema to identify the "Frequency of Greatness"—measuring how often a "must-own" classic is released compared to the total industry output. The central question: Even if quality films are still being made at the same rate, does the massive increase in production volume make them effectively invisible? Bonus questions: Which actors are in the most Christmas movies? Does box office success mean a great film? Why aren't there any good movies in the 1960s and '70s? What films have I missed?

Relatório simplificado de gastos com Cota Parlamentar, divididos por: * Parlamentar * Partido * UF * Tipo de gasto * Ano