Rayaan Faizan, So-I Kwak, Heejun Son
We set out to determine if there is any affect on a citizen's emotional wellbeing in relation to their country's GDP level. To find out the answer we have to combine the happiness and GDP data we found from Kaggle with the suicide rates from the World Health Organization (WHO). Since these tables came from different sources we had some country's that had more than one name to represent them. To solve this problem we implemented the Needleman-Wunch Measure and optimized the scoring alignment so that we can produce better string matching. This will allows us to then merge the tables and find out if there is any correlation between a country's GDP and their citizen's emotional state.
Preliminary work that shows the benefits of using Needleman-Wunch over other string matching techniques.
Provides a thorough description and walkthrough of our project and results.
Includes Needleman-Wunch measure, Jaccard similarity, edit distance measure, and correlation results.
Contact rof5162@psu.edu, hvs5373@psu.edu, svk6042@psu.edu to get more information on the project