Summary
In this chapter, we delved into the world of NFTs, exploring their structure and gaining insights into acquiring data for three crucial use cases. We took a deep dive into the game use case, with the analysis of the Wolf Game. Additionally, we examined ENS, shedding light on its role in online identity. Finally, we ventured into the expansive and ever-evolving art ecosystem, where we covered the activities of artists and marketplaces and generated metrics related to floor price and wash trading. In all these cases, we combined metrics derived from transactional data duly showcased on a Dune dashboard (https://dune.com/gabriela/chapter-4-nft) and state data in this book’s Jupyter notebooks.
It is important to note that the applications we’ve explored here are just the tip of the iceberg. The NFT landscape is incredibly diverse, and we might encounter requests to analyze NFTs in various other domains, such as fashion, proof-of-attendance protocols (POAPs) for...
