Everyone likes a good movie. And while not everyone is into superheroes, there has been a big wave of great movies based on MARVEL and DC comic book characters. Since the year 2000, four major cinematic studios released dozens of movies and collected over $23 billion in the box offices!
As a comic book fan, I decided to look at some publicly available data to understand which movies succeeded from a monetary perspectives. I researched the film figures on wikipedia.org during the first two weeks of September 2016 and decided to visualize them using the Google Data Studio.
Below are a few explanations of what you can see in the report, but make sure to check the interactive data visualization, where you can play with the data.
34 movies were released since 2000 in the DC and MARVEL universes. The films cost a total of $6 billion and generated $23 billion in revenue, quite a high ROI! Interestingly, we can see a clear trend in the last 5 years: all movies had a higher percentage of their revenue outside the United States, and in total 58% of all revenue was generated outside the US.
Those stats are quite staggering and show just how much superhero films have become an important cultural phenomena around the world. Learn more in the interactive visualization
One major factor in every superhero film is the number of characters in it, is it good or bad to have a lot of heroes and villains? On the one hand, the more characters, the more action and cool stuff happening, like Hulk smashing, Thor crushing and Wolverine slashing. On the other hand, the more characters, the less quality time you will have with each. But what do the box offices say about that?
The Scatter plots below show an interesting trend: the more characters the more revenue, but the more new characters (introduced in the current movie as opposed to being reused) the lower revenue. Conclusion: reusing superheroes and villains from previous movies is a winning strategy!
If you are not into superheroes and villains, I hope you have at least enjoyed seeing how visualizing data in new ways can expose interesting trends, they are not less exciting!