Exploring Netflix Productions with Python

I found a dataset of Netflix’s original films and documentaries. I analyze their IMDB Scores, runtime, premier date, and languages. I visualize the best films by genres and the attribute distributions. You can find my Python code here.

These are the top 10 genres and their respective counts. Netflix has revived audience interest in documentaries, which are cheaper to produce.

These are the 10 most popular genres after the previous (ranks 10–20).

This is the distribution of the IMDB scores, the average being 6.27, and standard 0.979. So, the middle 95% of the IMDB score distribution is the range [4.31,8.23].

Below are the distributions of when Netflix films are released — by year and month.

These are the boxplot distributions of IMDB Scores of films by the top 5 genres. Netflix’s best productions are documentaries, and the worst productions are comedies. With mostly mediocre scores, no wonder it’s hard to pick what to watch.

Below is the distribution of the IMDB Scores of the top 5 genres over the years.

This distribution is also visualized in the scatter plot below.

These are the highest-rated films overall.

I analyzed the highest-scoring films in each genre. These are the highest-rated documentaries.

These are the highest-rated Netflix thriller films.

These are the highest-rated Netflix comedy films.

These are the highest-rated Netflix Dramas.

These are the highest-rated Netflix Romantic Comedies.

Below is the distribution of runtime of films by released year.

This is the distribution of IMDB scores of films by year.

This is the distribution of all genres and their IMDB scores.

These are the various languages of the Netflix productions.

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