Movie Data Analysis

Introduction


What makes a movie successful? A film can succeed financially by earning high revenue, or it can succeed with audiences by receiving strong ratings. These outcomes do not always overlap.

This webpage examines 50 movies using eight variables: revenue, original language, title, popularity, average rating, vote count, genre, and runtime. The goal is to identify patterns connected to commercial success and audience approval while highlighting movies that challenge those patterns.

The analysis focuses on two definitions of success:
Commercial success: Higher worldwide revenue
Audience success: Higher average viewer rating

Because this dataset is a selected sample rather than a complete record of all movies, the findings show relationships only within these 50 films.

What does the data suggest?


Audience reach is closely connected to revenue
Vote count has the strongest relationship with revenue among the numerical variables in the dataset. Movies with more audience votes generally earned more money.

High ratings do not guarantee high revenue
Some highly rated movies earned hundreds of millions of dollars, while others earned much less. Several lower-rated movies were still major commercial successes.

Current popularity does not represent lifetime success
A movie can have a high popularity score but relatively low revenue. Popularity may reflect recent attention, while revenue reflects performance across a broader release period.


Check out the Walkthrough Analysis


Visit the Walkthrough Analysis page to view how to interact with the other pages as well as what to look for when comparing the data.