Typing on mobile devices can be slow and tedious. Our goal was to create a data product that: - Predicts the next word in a phrase instantly. - Reduces user keystrokes for better efficiency. - Operates with high speed and low memory usage.

The goal of this project is to build a predictive text engine. This report demonstrates the initial exploratory analysis of the training data, identifies major features of the language datasets, and outlines the plan for the final Shiny application.

Our new Shiny application provides: - Instant Predictions: Get MPG results as you move a slider. - Data-Driven Accuracy: Based on the industry-standard mtcars dataset. - Ease of Use: No technical knowledge required.

In this presentation, we explore the relationship between: Carat: The weight of the diamond. Price: The cost in USD. Cut: The quality of the diamond’s shape. Swipe or use arrow keys to navigate the slides.

Below is an interactive map showing the location of the Great Pyramid of Giza. I’ve used a custom “Esri World Imagery” tile to give you a clear satellite view of the structures and the surrounding desert.