Crypto Punks EDA in R

Posted on May 10, 2022

The skills the authors demonstrated here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.

Background:

  • Crypto Punks launched in June 2017 by Larva Labs (John Watkinson and Matt Hall), bought over by Yuga Labs
  • Collection of 10,000 unique 24x24 pixel images
  • Algorithm generatedΒ 
  • Early non-fungible tokens (NFT)

Objective:

  • Explore CryptoPunks attributes
  • What are the attributes?
  • Which attributes are common? Rare?

Visualizations:

crypto

Conclusion:

  • Having seven or zero attributes is most rare, and three attributes is most common
  • Hair attribute is most common
  • Teeth attribute is most rare
  • These attributes make the CryptoPunks unique - one of a kind - and can be used to access their rarity and value

Recommendations:

  • Collection items and speculation investments
  • Use attributes to find Punk that you like
  • Look at past transaction prices, bids, and offers
  • Use a combination of attributes, price history, and niche demand for value
  • Go for Aliens, zero attributes, special hair attributes (beanie, top hat, wild white hair)

Next Steps:

  • Link transaction history to available Punks to find relationship between attributes and price
  • Price and demand change over time
  • Feature engineer to create a β€œRarity” feature - estimating the rarity of Punks
  • Natural Language Processing of sentiment on CryptoPunks and NFTs

Github: Github CryptoPunks EDA

Presentation Slides: CryptoPunks EDA Slides

About Author

Tam Trinh

Hi, I had my start in analytics with psychology and am interested in data science, particularly within social fields.
View all posts by Tam Trinh >

Related Articles

Leave a Comment

No comments found.

View Posts by Categories


Our Recent Popular Posts


View Posts by Tags

#python #trainwithnycdsa 2019 2020 Revenue 3-points agriculture air quality airbnb airline alcohol Alex Baransky algorithm alumni Alumni Interview Alumni Reviews Alumni Spotlight alumni story Alumnus ames dataset ames housing dataset apartment rent API Application artist aws bank loans beautiful soup Best Bootcamp Best Data Science 2019 Best Data Science Bootcamp Best Data Science Bootcamp 2020 Best Ranked Big Data Book Launch Book-Signing bootcamp Bootcamp Alumni Bootcamp Prep boston safety Bundles cake recipe California Cancer Research capstone car price Career Career Day citibike classic cars classpass clustering Coding Course Demo Course Report covid 19 credit credit card crime frequency crops D3.js data data analysis Data Analyst data analytics data for tripadvisor reviews data science Data Science Academy Data Science Bootcamp Data science jobs Data Science Reviews Data Scientist Data Scientist Jobs data visualization database Deep Learning Demo Day Discount disney dplyr drug data e-commerce economy employee employee burnout employer networking environment feature engineering Finance Financial Data Science fitness studio Flask flight delay gbm Get Hired ggplot2 googleVis H20 Hadoop hallmark holiday movie happiness healthcare frauds higgs boson Hiring hiring partner events Hiring Partners hotels housing housing data housing predictions housing price hy-vee Income Industry Experts Injuries Instructor Blog Instructor Interview insurance italki Job Job Placement Jobs Jon Krohn JP Morgan Chase Kaggle Kickstarter las vegas airport lasso regression Lead Data Scienctist Lead Data Scientist leaflet league linear regression Logistic Regression machine learning Maps market matplotlib Medical Research Meet the team meetup methal health miami beach movie music Napoli NBA netflix Networking neural network Neural networks New Courses NHL nlp NYC NYC Data Science nyc data science academy NYC Open Data nyc property NYCDSA NYCDSA Alumni Online Online Bootcamp Online Training Open Data painter pandas Part-time performance phoenix pollutants Portfolio Development precision measurement prediction Prework Programming public safety PwC python Python Data Analysis python machine learning python scrapy python web scraping python webscraping Python Workshop R R Data Analysis R language R Programming R Shiny r studio R Visualization R Workshop R-bloggers random forest Ranking recommendation recommendation system regression Remote remote data science bootcamp Scrapy scrapy visualization seaborn seafood type Selenium sentiment analysis sentiment classification Shiny Shiny Dashboard Spark Special Special Summer Sports statistics streaming Student Interview Student Showcase SVM Switchup Tableau teachers team team performance TensorFlow Testimonial tf-idf Top Data Science Bootcamp Top manufacturing companies Transfers tweets twitter videos visualization wallstreet wallstreetbets web scraping Weekend Course What to expect whiskey whiskeyadvocate wildfire word cloud word2vec XGBoost yelp youtube trending ZORI