Part 1

This is a map which represents the rates of bike theft in Vancouver in 2021. The viewer can zoom in on the map to see where specifically each event of bike theft occurred.

Description This project aims to demonstrate the creation of an interactive product that showcases a next-word prediction algorithm. The deliverables include: A Shiny App: Users can input a phrase in a text box, and the app predicts the most likely next word using the trained algorithm. The app is hosted on shinyapps.io and designed for real-time predictions with minimal latency. A Slide Deck: A concise, 5-slide presentation created with R Studio Presenter, targeted at stakeholders like managers or investors. The presentation explains the underlying algorithm, highlights the app's features, and provides usage instructions. The Shiny app is tested against five English phrases (e.g., drawn from Twitter or news articles) to ensure robust and accurate predictions. The app and slide deck focus on delivering a seamless user experience and communicating the model's innovation and potential applications effectively. The project is designed to simulate a real-world pitch scenario, with an emphasis on usability, clarity, and technical soundness, making it a showcase for potential data science job opportunities.

Essa base de dados contém informações detalhadas sobre Pokémon e suas características, provavelmente derivada de um contexto analítico para explorar propriedades e comparações entre os diferentes Pokémon.