In this Python Data Analysis Project, I worked on a dataset that contains the different genres of movies, ratings received by the expert and audience, year of release, and budget in millions. While working on this project, I used the Pandas, Seaborn, and Matplotlib python libraries. By using these libraries, I built different types of graphs and charts, which helps us make the analysis easier. In this project, I have analyzed which movie genres are popular among the audience based on their ratings. We can suggest which genre would be best if the producer or director wanted to make a movie at the end of this project.
Python Code
Most of the movies belong to the action, comedy, and drama genres, which shows that audiences are more interested in this type of movie. Movies with very high audience and critic ratings are considered to be highly liked. That happens mostly for action, drama, and thrillers. By analyzing this dataset, domain experts can make their decisions for upcoming movies that are popular among the audience as per their ratings. So, if a producer or director wants to make a film, the above-mentioned genre will be most preferred in order to get the best response from the audience and earn the most profit from that film.
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