MIKEB - COURSERA : REPRODUCIBLE RESEARCH PROJECT 2

his tutorial demonstrates how to create a Dorling cartogram using census tract data for Minneapolis–Saint Paul. We visualize median home value (MHV) and explore spatial clustering using proportional circles and neighborhood layout. Techniques include spatial data wrangling, cartogram generation with cartogram_dorling(), and map styling with ggplot2.

This project explores the CollegeScores4yr dataset from the Lock5 Statistics book (3rd edition). The data come from the U.S. Department of Education College Scorecard (downloaded November 2019) and include 4-year colleges/universities with variables such as:

A simple NLP-based predictive text model using R and Shiny.

i dati di 2500 neonati di tre ospedali sono stati raccolti per capire da cosa dipende il peso alla nascita.

A predictive text model built using NLP and Shiny in R. This app takes an input phrase and predicts the next word using a simple n-gram language model. The presentation explains the algorithm, model logic, app design, and possible future improvements.