Welcome to my Visualization Portfolio! Here, I present a curated collection of JavaScript-based projects that aim to bring data to life through engaging visualizations. Each project showcases the versatility of JavaScript in creating informative and visually appealing representations. Explore the world of epidemics, breweries, Christmas markets, underwater museums, and even the intricacies of public transportation in New York City.
Feel free to explore each project, and don't hesitate to provide feedback or contribute to the repositories. The source code for each project is available on GitHub, accessible through the Visualization Portfolio landing page. Thank you for visiting and enjoy your journey through the world of visualized data!
Delve into history as you explore how Jon Snow mapped the infamous 1854 Broad Street Pump outbreak in London. This spatial analysis project allows you to visualize the spread of disease, providing a unique perspective on one of the most terrifying epidemics in the Western world.
Embark on a virtual tour of breweries across the United States. This interactive map not only reveals the geographical distribution of breweries but also invites you to plan your own brewery-hopping adventure. Discover the diversity of craft brewing in the US through this visually appealing and informative project.
Immerse yourself in the festive atmosphere of Berlin's Christmas markets. This map provides a sensory experience, allowing you to virtually explore the markets and learn more about this iconic holiday tradition. Get a taste of Glüewein, Gingerbread Cookies, and the unique charm of Berlin during the holiday season.
Embark on an adventurous journey to explore Seattle's underwater museums inspired by National Geographic. Uncover the hidden treasures and fascinating marine life that lie beneath the waters of Seattle. This project combines the wonder of exploration with the art of visualization.
Experience the power of data-driven decision-making with this proof of concept project. Visualize New York City's subway data using Dijkstra's algorithm to find the shortest path between two locations. This project promises further enhancements in functionality, making it an exciting exploration into public transportation dynamics.