About

About Us

 Box Office Analysis, by SFHB Analysts, is a financial analysis blog that focuses on the box office performance of movies through data analytics. It analyzes how movie budgets and profits work by analyzing factors and profitability metrics. The numbers for the global film industry is reported in various categories based on genre, release period, movie franchises, studios, actors, and more.
Our Mission

 We are going to use a mixed tone of casual blogging and professional analysis through the use of visuals to make sense of the data, make the interpretation as easy as possible to users and help them understand the industry dynamics. Our numerical analysis charts will be our biggest interest points. We would provide a basis for comparison and look at the financial performance of the films from a proper business point of view, and make the analysis fun and interesting for viewers who are not used to the technical terms. We would try to write our posts in a manner that seems in-depth to analyst professionals, but looks simple and inviting to casual readers.

Popular posts from this blog

Factors Influencing the Success of a Movie

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Many of us have been an enthusiastic fan of movies and like to explore great movies through looking at different film ratings and reviews websites such as IMDb, Rotten Tomatoes, etc. While reviewing the top movies list, we might be wondering, what are the primary factors that influence a movie’s success? Is it budget, box office, language, or movie genre? Hence, we, the three movie lovers and data lovers too, decided to conduct a statistical analysis regarding the influential factors of a movie’s success. We looked at IMDb  Top 500 Greatest movies of all time   and created our dataset. Our categorical variables   consist of information on certificate, genre, country, and language. ​Numerical variables   consist of information on duration, rating, vote, gross, and budget. There are 9 different certificates, 21 languages and 29 countries in total. Some movies’ gross and budget information were not available and we ignored those movies. There are some sources of noise   in the
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Box Office Success: Is It About Gender?

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The (lack of) prevalence of women on the film set has been a topic of much debate. While the movie business has been making progress in the right direction on this account, true gender equality is still some way off. This blog is inspired by some articles which claim to observe some interesting parallels between a movie’s lead gender and its success at the box office. Female-led films outperform at box office , Films with female stars earn more , and  Movies Starring Women Make More Money are just some of the headlines that have spawned in this study’s wake. This blog post reports our findings concerning the casting of females in movies. Here, we considered movies released between 2014 and 2017 inclusive. The 541 movies were labeled with the lead character’s gender. We created three separate categories: male-led, female-led, and movies with neither a clear male or female lead. This last category mainly encompasses movies having an ensemble cast containing both actors and actresses
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Success of Movie Genres based on IMDB Data

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Source: www.imperialtheatre.com Though we usually strive to focus on specific areas or a niche zone for in depth analysis, this time wanted to direct your attention towards a bigger picture. We believe that talking about this particular topic would help you to understand many of our future analysis, and also gives us a way to introduce you to the idea that on-the-surface stats are rarely descriptive enough to understand the situations. Today, we are going to show you a little bit of how movies have been doing over the years since records have been kept, or rather, records that IMDB has. For our analysis, we have used the list of movies in IMDB’s records till the end of 2016. Though the original dataset has 5043 movies, we had to remove duplicate entries, and even remove movies that had insufficient information and would not contribute well to our analysis. Even though there are many different categorizing levels for genres, we decided to use only a handful of primary level g
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