Restaurants around train stations are bad and I can prove it

Dennis Schulz

Machine Learning & Deep Learning & Statistics
Python Skill None
Domain Expertise Novice

Does the quality of restaurants degrade with your proximity to a train station? And which German town is worst for the hungry traveller? In this culinary data exploration, we used publicly accessible data to assess whether busy train stations correlate with lower restaurant ratings - and which towns are actually the worst. Using the Google Maps API and the hottest framework for data manipulation, polars, we give an overview over publicly available data resources and show how far you can get with them.

Of course, this talk will also deliver all the cold hard food facts: Analyzing the data of over 10,000 restaurants in Germany and worldwide, we will present the best and worst dining options available at train stations. We compare urban and rural environments, examine the impact of chain stores, and provide practical advice for you, the hungry traveler.

Dennis Schulz

Dennis Schulz is a Senior Consultant at TNG Technology Consulting. He holds a PhD in low temperature physics from the University of Heidelberg. Besides being a programmer, he organized and hosted the TV show Quasi Klar for RNF, published a book that was translated to Korean and Russian, and won Science Slam competitions all over Germany. As a part of the Innovation Hacking team at TNG, he worked on different AI showcases, fine-tuning embeddings, and data mining.