Our app predicts the next word in a text, enhancing text input efficiency and language learning.

This document presents an exploratory analysis of a large text dataset consisting of three files: `en_US.blogs.txt`, `en_US.news.txt`, and `en_US.twitter.txt`. The goal is to understand the characteristics of the data and lay the foundation for developing a predictive text algorithm and a Shiny app.

This plot showcases the changes in incomes for different social classes over time.

Understanding the relationship between key characteristics of different cars is crucial for automotive enthusiasts and researchers

This plot showcases the changes in incomes for different social classes over time.

This map showcases some of China's top cities and their populations.

This document analyzes the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database to identify the most harmful types of severe weather events concerning population health and economic consequences. The analysis includes summaries and visualizations of the total fatalities, injuries, and estimated property damage by event type. The focus is on the top 10 event types that impact both health and the ec the mostonomy.