Skip to content

dmcmurchy/analyzing_unicorn_companies

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 

Repository files navigation

Description

Adaptation of the DataCamp Analyzing Unicorn Companies project using DuckDB.

In the related Jupyter Notebook the original project description is provided along with setting up the DuckDB environment and tables. My methodology for breaking down the problem into smaller steps and analysis of the provided solution is included.

Project Description

Which industries are booming? Where should your next investment be? With the rise of the ‘amateur investor’ and the availability of platforms enabling people to invest and sell stock in public companies, it’s never been a better time to understand the financial performance of companies across the globe!

Using a DuckDB database you’ll be able to analyze information about unicorn companies worth over $1 billion! You’ll find out which industries have the highest average valuation and then zoom in on these to determine how many new unicorns have been produced annually between 2019 and 2021!

About

Analyzing Unicorn Companies using DuckDB

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages