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The data is coming from https://citybik.es/, a repository of all the bike-sharing sevices around the world. Using the script tempo.py it's possible to get the real-time data from the web and work with it. The code must be changed indicating the service you want to analyze, the example is for Bicing from Barcelona.
"🍽️ Zomato Data Visualization: Delve into restaurant data, explore customer reviews, track revenue trends, and enhance dining experiences. Make informed decisions for a tasteful journey in the world of culinary analytics! 📊🍕"
This project is intended to provide English learners with data that allows them to make a data-driven guess when encountering words that they aren't sure where to stress