What it does
This project comes in three parts: Comparison of mean personality trait scores with respect to age; Comparison of mean personality trait scores with respect to region; Attempted prediction of age based on personality trait scores
How we built it
Written in Python, using the following libraries: pandas, matplotlib, seaborn, scikitlearn, scipy
Challenges we ran into
Due to the sheer size of our dataset, we had trouble running the code in the Ed workspace in which we developed it. Furthermore, the original approach to one of our research questions turned out to be too ambitious, though we eventually answered it on a smaller scale.
Accomplishments we're proud of
The code for the module used to answer Question 1 was rather elegant.
What we learned
We learned how to use scipy to perform linear regression, as well as how to make a markdown document.
What's next for Synchronic Prediction and Analysis of Personality Traits
Finding a newer and more manageable dataset, as well as examining personality score trends in other regions, would be the next steps.
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