The financials of movies
About this project
Cinema, as an art form, serves as a gateway to different worlds and emotions. It offers us a much-needed break from reality, capturing our hearts with stories that make us laugh, cry, and contemplate the complexities of life. However, behind the scenes, the financial aspect plays a crucial role in sustaining this fascinating field, hence the idea to capture this aspect through this Power BI report.
The primary objective of this project is to present, in a captivating and interactive manner, the financial performance of movies from the 70s to 2023. By adjusting for inflation, it allows the audience to understand how studios and actors fared at the box office over the years. Throughout the analysis, we introduce commonly 0used terms to categorize movies, such as blockbusters, sleeper-hits, and flops. With the aid of bookmarks, viewers can easily navigate between multiple views and gain valuable insights from the underlying data.
The final component of this project serves as a movie guide, offering a user-friendly experience. Through the implementation of filters, users can personalize their search for good movies to watch. Additionally, I have included my personal movie library from Letterboxd, which contains films I have watched, liked, and added to my watchlist. This feature aims to enhance the tailored experience for each user.
Now, let's address some limitations regarding the financial aspect. Box-office revenue and budget alone do not always provide the full picture. Some movies may seem profitable, but when accounting for undisclosed costs or liabilities, the return on investment (ROI) can change significantly. The most recent example of this is the latest installment of the Mission Impossible series considered as a flop by the studio despite grossing over $ 567M worldwide against a $ 291M production budget.
Link to interactive version : Power BI project
Additionnal Tools: Figma, HTML VizCreator Flex.
Sources: the dataset used for this project is from Kaggle (https://www.kaggle.com/datasets/akshaypawar7/millions-of-movies) and was enriched with TMDB API. This project uses TMDB and the TMDB APIs but is not endorsed, certified, or otherwise approved by TMDB.
This project is the result of my own design skills and hard work but I took great inspiration from amazing creators/reports such as:
Bas Dohmen, https://www.linkedin.com/in/basdohmen/
Gustaw Dudek, https://www.linkedin.com/in/gustaw-dudek/
Edits
Data updated until May 2024
Additional project images
