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Dies ist eine Kursaufgabe aus dem Kurs ‚Applied Mathematics for Biology: Single-cell Omics

This presentation summarizes the development of a predictive text Shiny app created for the Coursera Data Science Capstone project. The app uses n-gram models built from the SwiftKey corpus to predict the next word based on user input. The algorithm applies a simple backoff strategy, and the interface is implemented using R Shiny.

data analysis

This project presents a comprehensive immigration and security data analysis system using MySQL for backend data management and R for data visualization. The dataset includes visa applications, border entry logs, geospatial risk points, and regional security alerts. Through structured queries, indexed schema, and spatial analytics, the project extracts actionable insights such as visa approval trends, high-risk border zones, and anomalous travel patterns. Visualizations created with ggplot2 enhance interpretability of SQL-derived results. This portfolio project demonstrates advanced SQL, database optimization, and analytical storytelling with R