You should explain what the columns mean: E1, E2...

Maybe explain what ranges are expected and what they mean for the different traits (i.e. Extraversion)

You should encode watching frequency as a quantitative attribute. You are using a categorical one. Then use frequency in the X axis, and repeat extraversion, conscientiousness and neuroticism in the y axis

Why is this an image? It should be an interactive chart.... I wanted to modify it, but couldn't because I couldn't see the code

Hi Professor, I put the link to the idiom above, which is https://observablehq.com/d/9edc351a46209a85

I don't see it very clearly. They seem evenly distributed

Good iterations, quite a jump

A stacked barchart would be good for comparing totals, but if you want to compare between genders, you probably want a grouped barchart

For this idiom, you probably need to derive some better statistics. Maybe think of computing what is the average genre distribution that a person would watch, and then compute how is that distributed for people with high extraversion

This insight isn't very interesting for your topic....

Again, not very interesting... Maybe if you could find the personality traits of directors it could be interesting to explore this. However I think it is better for you to explore how movies are rated depending on different genres. If you can find that for example Extroverts prefer comedies, then it could be interesting to see what ratings comedies normally get compared with the expected value

What is a correct answer to Q1? You are making the tasks too subjective... Try something more measurable...

typo resluts

Also, you haven't explained what are the cronbach's alpha and the other measurements