Welcome back to another edition of Alpine Data Lab’s Workout of the Week! This week we’ll be looking at some Crunchbase investment data using a simple k-means clustering algorithm. In less than 10 minutes, we’re going to take the raw data provided by Crunchbase and analyze it based on investors, companies, and the average investment. If you’d like to follow along with your very own edition of Alpine, click on the button below.
Data: Crunchbase Investment Data
Analysis: Crunchbase has collected investment data since 2007 with over 4 Million transactions. Is Silicon Valley really the best place to start a company? Where are companies finding investment and where do they find an exit? In this short exercise, we’ll take investment and acquisition data to see where you should start your next startup. (6 MINS)
Video: Check out the video to see how we performed the analysis and what the data told us!
Join us on Wednesday, January 29th at 11am PST/2pm EST for our first Workout of the Week webinar as we explain the analysis in greater detail and answer your questions. Register now to reserve your seat! And in the meantime, feel free to submit your analysis on our Data Science Crossfit page on Tumblr or email us a link to your video at firstname.lastname@example.org. If you don’t already have Alpine, sign up here to get started!
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