Inspiration
I wanted to see whether harbors had a winning strategy or not. As myself who plays catan, I wanted to know the results as well as share the information to everyone else. I incorporated my psychology background to explain the results. This is one of many reason why I like data analysis as it works hand and hand with my background
What it does
It uses machine learning to generate a k-mean to see what the mean for num of ports for winners
How we built it
Used Kaggle to get data, sql to query and clean data, and python to run data analysis
Challenges we ran into
limitation in the study conducted: is it just random that people obtain harbors or is it on purpose? Does number of harbor matter or just the type of harbor matters?
Accomplishments that we're proud of
I learned to use machine learning to run data analysis which is my first time and used sql for the first time.
What we learned
New data analysis technique involving machine learning
What's next for Catan: The Harbor Analysis
Working on those limitations
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