This project builds a predictive text model using natural language processing techniques.

This project builds a predictive text model using natural language processing techniques.

This report explores the SwiftKey text dataset used for building a predictive text model. The goal is to understand the structure of the data and identify patterns that will support the development of a next-word prediction algorithm. The dataset consists of three sources: - Blogs - News articles - Twitter posts

The purpose of this milestone report is to explore the SwiftKey text data that will be used to build a predictive text model. This report summarizes the characteristics of the three English-language data sets, presents exploratory analyses, and outlines plans for developing the prediction algorithm and Shiny application.

- Cancer is one of the leading causes of death in the U.S. - This project reflects the rates of new cancer cases and death expectancies for each cancer type. - Data Source: American Cancer Society. Cancer Statistics, 2026. https://acsjournals.onlinelibrary.wiley.com/doi/10.3322/caac.70043 - Goal: Make cancer statistics interactive and easy to explore

The US Cancer Statistics Explorer is an interactive Shiny application that allows users to: - Explore estimated new cancer cases by state - Explore estimated cancer deaths by state - Compare cases and deaths visually - Calculate an estimated death rate for selected cancers The application was created to make national cancer statistics easier to explore through an interactive interface.

Overview Cancer remains one of the leading causes of illness and death in the United States. This presentation explores estimated cancer cases, deaths, incidence rates, and survival statistics for major cancer sites using national cancer statistics. The interactive visualization below allows viewers to explore patterns across different cancer types.

## Overview This interactive map highlights the cities where I have lived throughout different stages of my life. The locations span multiple regions of the United States as well as South Korea, reflecting both personal and professional experiences. ## Why This Map Each location represents a different chapter of my life, including assignments, home cities, and places I have spent significant time. Leaflet allows these experiences to be visualized in a single interactive map. ## Purpose The purpose of this project is to demonstrate the use of R Markdown and the Leaflet package to create an interactive web-based map. Users can click on each marker to learn more about the locations represented on the map.

Exploratory analysis of the NOAA Storm Database examining severe weather events that produce the largest impacts on public health and economic losses in the United States.