🦄 Maven Unicorn Challenge

📚 About Data

Private companies with a valuation over $1 billion as of March 2022, including each company's current valuation, funding, country of origin, industry, select investors, and the years they were founded and became unicorns.

This dataset contains a csv table with 1,074 records, one for each company.

#mavenunicornchallenge

💡 Highlights

• Valuations in year 2021 makes up one-third of total valuations since the beginning of time.
• Unicorns in United States and China outperformed the rest of the world with 72% overall valuations.
• Bytedance, SpaceX, SHEIN and Stripe are the most successful unicorns which performed better than an average unicorn at $71 billion.
• Unicorns in AI, E-Commerce, Fintech and Edtech industries are valued higher than the average unicorn at $3.5 billion.
• A unicorn takes an average of 7 years to attain valuation of $1billion and become a unicorn.

✏️ Data Wrangling

Conducted simple data wrangling and data cleaning:

• Removed rows with missing values
• Cleaned Valuation and Funding columns and cast as float
• Exclude rows with "Unknown" Funding values
• Explode Select Investors column into individual rows for categorical analysis

📍 Jupyter script: Notebook

📍 Clean Data: unicorn_companies_clean.csv

📊 Visualization

Produced a 1-pager dashboard using Tableau.

Tableau: Link