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Day 4 of building 30 data science projects in 30 days. Today, I built a simple Python Pandas dataframe that explored the most overvalued purchases of the NFT project The Bored Ape Yacht Club, and we exposed who made this purchase...(hint: Justin Bieber)

This Project:

• Took me ~3 hours to do
• Has ~360 lines of code
• Was built with Python using Pandas & Jupyter Notebook
• Data was created using The NFT Starter Pack

How You Can Make This Project Your Own:

• Tackle the 2 bullet points I didn't have a chance to do
  
  • What trade was the biggest winner & biggest loser
  • Who owns the most of BAYC
• Create a floor algorithm that keeps track of the floor price
• Find the must undervalued purchases (low $/Rarity)

Code: https://github.com/AveryData/NFT-Network-Analytics/blob/main/NFT%20Bored%20Ape%20Analysis.ipynb