Malaria vaccination Dropout rate in ten health zones in Kongo

This report presents an exploratory analysis of three English text datasets (blogs, news, and Twitter) for a word prediction project. It includes basic statistics, data cleaning, visualizations of common word usage, and outlines the plan for building an n-gram-based predictive text model. The final model will be deployed in an interactive Shiny app to predict the next word based on user input. The report is written for a general audience and highlights key findings to support algorithm development.

Robustness analyses restricting vegetarians’ subsample to those who reported environmental motivations as their pivotal reason for being vegetarian.