To run this project first be sure you are using the specified python version in .python-version and packages in requirements.txt. I used pyenv to manage the python version and virtual environments.
The Big Five also known as OCEAN model is a grouping for personality traits. This is the most accepted model of personality in academic psychology. The origin of the model comes from the statistical study of responses to personality questions. In particular, using a technique called factor analysis researchers can find a way to best summarize individuals despite the possibly unlimited number of personality variables that exist. 5 traits seem to frequently stand out and they are: extraversion, neuroticism, agreeableness, conscientiousness and openness to experience. The Big-Five aren't the result of a particular test. In fact, a variety of methods have been developed to measure each one of them. This particular test uses the Big-Five Factor Markers from the International Personality Item Pool, developed by Goldberg (1992).
My objective with this project is to find patterns of psychological traits that are able to summarize distinct groups within the candidates who answered the test in question.
My technical goals with this dataset are practicing the following areas:
- Unsupervised Learning Techniques;
- Data Visualization
- Communication Through Dashboards
This dataset was provided on kaggle by the user Bojan Tunguz and it can be found here.