The data was scraped from Box Office Mojo. This data set includes all-time worldwide box office collections from 2010 to 2022.

Web scrape source: https://github.com/Somnath4/Python-Web-Sraping

Photo by Kilyan Sockalingum on Unsplash Photo link: https://unsplash.com/photos/nW1n9eNHOsc

About Box Office Mojo: Box office mojo is a website that provides box office collection data for movies. It is a valuable resource for movie studios, producers, and film fans alike. The website allows users to view box office collection data for movies released in the US and around the world. It also provides data on movie budgets and box office performance compared to the budget. Users can access this data by browsing through the website or using the search function to find specific movies. The website is updated regularly, so users can always stay up-to-date on the latest box office collection data.

About the data set: The data set, which contains a worldwide box office collection, includes information on the top 200 grossing films of each year from 2010 to 2022. The data consists the title of the film, its worldwide box office collection, domestic box office collection, the percentage of domestic box office collection, foreign box office collection, and the percentage of foreign box office collection. This data can be beneficial for analyzing trends in the film industry, understanding the performance of different films, and predicting future box office success.

Global Movie Franchise Revenue and Budget Data

Tracks Lifetime Gross, Budgets, Ratings, and Release Dates

By Emma Culwell [source]

About this dataset

This dataset offers an extensive look at some of the most popular movie franchises in history, shedding light on their financial success and public reception. It includes data on the lifetime gross sales, budgets, ratings, and release dates of each featured movie. Furthermore, this dataset provides invaluable insights into how different elements such as ratings and runtime can affect the performance of a film at the box office. Whether you are an aspiring or established filmmaker looking for inspiration to craft your own successful blockbuster or simply a fan curious about these films’ inner workings, this dataset offers an unprecedented level of detail regarding many beloved franchises

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How to use the dataset

This dataset provides comprehensive information on movie franchises released worldwide between 2000 and 2020. It includes data such as lifetime gross, budget, rating, runtime, release date and vote count/average. This dataset can be used to gain insights on the global movie industry trends over this time period.

The data can be explored in various ways to identify patterns of success or failure among movie franchises across countries, genres or decades. For example, you may want to examine the average budget for movies released each year or calculate the average number of votes received by movies of a particular genre. Additionally, you could use this dataset to compare different types of media (e.g., cable vs streaming) and understand how they impact box-office performance.

To get the most out of this data set it is essential that you first familiarize yourself with all the columns provided: Title: The title of the movie; Lifetime Gross: Total amount money earned by a franchise in all territories; Year: The year in which it was first made available publicly; Studio: The production company behind the production; Rating: Classification given by MPAA/BBFC; Runtime: Length in minutes/hours; Budget: Amount spent producing it ; Release Date : Date when publically announced Availability ; Vote Average : Average ratings based on user reviews ; Vote Count : Number people who rated franchise).
Once you have become comfortable with these variables then feel free to try out some larger analysis techniques such as predictive analytics (predicting future success based on existing trends) or clustering (grouping similar outcomes together). No matter which methods you decide to utilize it is important that you remember – always validate your assumptions! Good luck exploring!

Research Ideas

• A comparison of movie budget to box office returns, to identify over/underperforming movies.
• A study of the correlation between movie rating and viewership.
• An analysis of what types of movies tend to become franchise success stories (big budget, PG-13 rating, etc.)

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: MovieFranchises.csv | Column name | Description | |:-------------------|:------------------------------------------------------------------------| | Title | The title of the movie. (String) | | Lifetime Gross | The total amount of money the movie has made in its lifetime. (Integer) | | Year | The year the movie was released. (Integer) | | Studio | The studio that produced the movie. (String) | | Rating | The rating of the movie (e.g. PG-13, R, etc). (String) | | Runtime | The length of the movie in minutes. (Integer) | | Budget | The budget of the movie in USD. (Integer) | | ReleaseDate | The date the movie was released. (Date) | | VoteAvg | The average rating of the movie from users. (Float) | | VoteCount | The total number of votes the movie has received from users. (Integer) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Emma Culwell.

In 2021, the global box office revenue added up to approximately **** billion U.S. dollars, up from **** billion dollars a year earlier – an annual increase of **** percent. Still, the 2021 result amounted to only little more than half of the ****-billion-dollar box office revenue recorded in 2019, before the COVID-19 outbreak. Furthermore, the share of ** films in the global revenue went from *** percent in 2020 to *** percent in 2021. Cinema market: a challenging comeback The pandemic changed the film industry by emptying movie theaters and accelerating the increase in video streaming penetration. In the so-called North American movie market – which consists of Canada and the United States (including the unincorporated territories of Guam and Puerto Rico) – the box office revenue more than doubled between 2020 and 2021. But the latter figure amounted to less than ** percent of the pre-COVID-19 result. Meanwhile, subscription video-on-demand (SVoD) platforms went even further. Netflix kept the top spot while new competitors such as Disney+ diversified the offering. Big players on the big screen The global cinema segment spans way beyond North America, though. China alone sold more than *** billion movie tickets throughout 2021, making it the leading market worldwide, right above the U.S. India ranked third with almost *** million tickets sold that same year. With a vast film culture – even larger than its iconic Bollywood industry – India and its cinema feature a myriad of languages and advertising opportunities to its gargantuan audience.

"Horror movies get nowhere near as much draw at the box office as the big-time summer blockbusters or action/adventure movies — the horror genre accounts for only 3.7 percent of the total box-office haul this year — but there's a huge incentive for studios to continue pushing them out.

The return-on-investment potential for horror movies is absurd.

For example, "Paranormal Activity" was made for $450,000 and pulled in $194 million — 431 times the original budget. That's an extreme, I-invested-in-Microsoft-when-Bill-Gates-was-working-in-a-garage case, but it's not rare. And that's what makes horror such a compelling genre to produce."

Data Dictionary

Data from the-numbers.com

citation("tidytuesdayR")

Gross-Profit Time Series for Wangsu Science Tech. Wangsu Science & Technology Co.,Ltd. provides information infrastructure platform services worldwide. The company provides edge cloud platform; serverless edge app; CDN Pro; whole site acceleration; live stream distribution; edge cloud host; edge cloud container; edge cloud container instance; ECC-lite; edge cloud phone; web and dynamic acceleration; VOD distribution; S-P2P; low latency streaming WRTC; virtual streaming; e-optimize; e-connect; download distribution; and upload and overseas acceleration. It also offers WAAP, which defends various web and API services; SASE, a zero trust network for enterprise remote access; HIDS, a monitor and analysis operation; DDoS migration; web application firewall; bot guard; API security and management; website security monitoring; network situation awareness; HttpDNS, a domain name resolution service; ZTNA zero trust secure; XDLP data security governance; XDR threat detection and response; IT management; and SD-WAN. In addition, the company provides WS-RTC, which provides PaaS audio and video interactive services; cloud live; cloud VOD; video processing; video quality enhancement; copyright protection; intelligent HD; video censorship; and cloud classroom. Further, it offers computing park; elastic clous server; GPU cloud server; cloud physical server; container service; overseas IDC service; elastic volume service; object storage; NAS; virtual private cloud; cloud load balancing; elastic IP; VPN and NAT gateway; direct connect; MySQL; Redis; Memcached; MongoDB; CloudDNS; CloudGTM; cloud monitoring; cloud management consultation; log-service; LevinBI; and TheOne Dashboard. Additionally, the company provides cloud migration, HandyOps, global e-commerce big data, cloud O&M support, and managed cloud O&M services; and security acceleration and remote office solutions. Wangsu Science & Technology Co.,Ltd. was founded in 2000 and is based in Shanghai, China.

In India, gross box office revenues amounted to approximately *** billion Indian rupees as of 2024. This decline could be attributed to a combination of factors, such as decreased footfall and reduced ticket prices. The majority of box office collections that year was contributed by the South Indian film market.