ExamNumbers

Step by step intructions on how (and why) to set up git and GitHub and connect to R Studio.

Test Plot

This report presents a simple n-gram-based text prediction model built using R. It includes data sampling, cleaning, tokenization, and creation of unigrams, bigrams, and trigrams from the SwiftKey dataset. The model uses backoff logic to predict the next word in a given phrase. This is part of the Coursera Data Science Capstone Project.

Description: This interactive map visualizes social vulnerability patterns across census tracts in St. Louis County, Missouri, combined with the locations of food deserts. Features: Census tracts are shaded by cluster assignment indicating relative social vulnerability: High Vulnerability (brown): Higher concentrations of socioeconomic challenges. Moderate Vulnerability (tan): Mixed indicators. Low Vulnerability (blue): Fewer vulnerability factors. Red triangle markers highlight tracts classified as food deserts (low income and low access to healthy food options). Hover over any tract to see its ZIP code, city, and population. Click a red triangle to identify the specific food desert tract. This visualization supports targeted policy planning and resource allocation by combining socioeconomic data with food access information in an accessible format.

Application letter