Community detection of survey responses based on Pearson correlation coefficient with Neo4j

#artificialintelligence 

Just a few days ago a new version of Neo4j graph algorithms plugin was released. With the new release come new algorithms and Pearson correlation algorithm is one of them. To demonstrate how to use Pearson correlation algorithm in Neo4j we will use the data from "Young People Survey" Kaggle dataset made available by Miroslav Sabo. It contains results of 1010 filled out surveys with questions ranging from music preferences, hobbies & interests to phobias. The nice thing about using Pearson correlation in scoring scenarios is that it takes into account when voters are generally more inclined to give higher or lower scores as it compares each score to the average score of the user.

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