Analysis of Oscar Nominees

While reviewing datasets on kaggle.com, I found a table of Oscar nominees dating from 1927 to the present day, comprising 611 rows and 15 columns.

I had the idea of making a film for the Oscars. As a true producer, I want to derive the formula for the perfect movie to gain recognition from this award. Therefore, using information about the nominees, I will analyze the necessary data with the help of programming and neural networks.

Chart Types:

(01) Line Chart (02) Pie Chart (03) Bar Chart (04) Scatter Plot

The Futura font was chosen to style the graphics because the award typically uses it. Yellow colors were also used, as the award is made of gold.

The first criterion for analysis is film length. To shoot the coolest one, you need to understand the average length of the movies that participated in the award.

Genre also influences the nominations, and to ensure my film gets noticed, I need to find out which type is nominated most often.

According to the schedule, «Drama and Romance» was the most frequently selected genre, so we are proceeding with the script in this genre. Success is definitely ours then!

Familiarity with cinema is also crucial. To achieve accurate results, one should be familiar with the major films nominated for this award. Therefore, I created a chart featuring the top 10 films.

The final study focused generally on the popularity of the «Oscar» through the number of ratings for a specific film. The database contains this aspect, and a scatter plot can visualize, over a five-year period, how many people watched these films.

Analyzing the database of all Oscar nominees from 1927 to 2025, I can develop the perfect formula for a film that can participate and achieve global recognition.

Generally speaking, the best films to shoot are:

1. With a runtime of about 125 minutes
2. In the «Drama/Romance» genre
3. Similar to 10 top movies

See you at the Oscars!

Dataset and code: https://disk.yandex.ru/d/WAzHrlQoeNCSBA