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Manually curated movie dataset analysis

There have been a lot of projects done on movie datasets but almost none of them focused on specific questions they tried to answer. Through our analysis, we wish to answer/test 3 major questions. They are:

Are movie production houses looking at the old patterns of movie genres and their financial success and are trying to replicate their success by making more movies of similar genre?

Is Martin Scorsese’s recent claim about the superhero movies right? If yes then what is the possible solution?

How have the most bankable directors of the older generation been performing in the past 2 decades? Who among them is the most versatile and the most profitable?

Context for question 2: Martin Scorsese recently claimed that the superhero movies have been taking over the theaters and are overshadowing other good movies that released during the same time. He said he feels that they are like theme parks and are not like the cinema he grew up loving. This opinion raised a lot of eyebrows.

Context for question 3: The bankability of the directors (in our analysis) is measured by the revenues their movies generated. Higher the revenue, the higher the bankability.

To look at the final results please see the Analysis and Results folder. It has a html file which contains our entire analysis and findings (OR) see https://drive.google.com/file/d/1u15nxPPqXrvODJ6d2WLwEdpFsiBXglHu/view?usp=sharing

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Exploratory Data Analysis and visualization on movie datasets

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