--- title: What Makes a Movie a Box Office Success? description: Jed Dougherty (Data Scientist, Dataiku) looked into the features that make a movie popular. He explains the data science process he developed. --- [![Dataiku_logo_color](https://pages.dataiku.com/hs-fs/hubfs/Dataiku_logo_color.png?width=100&name=Dataiku_logo_color.png)](https://www.dataiku.com/) - [Product](https://www.dataiku.com/dss) - [Overview](https://www.dataiku.com/dss/) - [Features](https://www.dataiku.com/dss/features/connectivity) - [Connectivity](https://www.dataiku.com/dss/features/connectivity/) - [Data Wrangling](https://www.dataiku.com/dss/features/data-wrangling/) - [Machine Learning](https://www.dataiku.com/dss/features/machine-learning/) - [Data Mining](https://www.dataiku.com/dss/features/data-mining/) - [Data Visualization](https://www.dataiku.com/dss/features/data-visualization/) - [Data Workflow](https://www.dataiku.com/dss/features/data-workflow/) - [Realtime Scoring](https://www.dataiku.com/dss/features/realtime-scoring/) - [Code or Click](https://www.dataiku.com/dss/features/code-click/) - [Collaboration](https://www.dataiku.com/dss/features/collaboration/) - [Deployment](https://www.dataiku.com/dss/features/deployment/) - [Enterprise Readiness](https://www.dataiku.com/dss/features/enterprise-readiness/) - [Plugins](https://www.dataiku.com/dss/plugins/) - [Samples](https://www.dataiku.com/dss/samples/) - [Technology](https://www.dataiku.com/dss/technology/) - [Editions](https://www.dataiku.com/dss/editions/) - [Solutions](https://www.dataiku.com/solutions/) - [Use cases](https://www.dataiku.com/solutions/#use-cases) - [Industries](https://www.dataiku.com/solutions/#industries) - [Departments](https://www.dataiku.com/solutions/#departments) - [Customers](https://www.dataiku.com/solutions/#customers) - [Learn](https://www.dataiku.com/learn/) - [Overview](https://www.dataiku.com/learn/) - [User Guide](https://www.dataiku.com/learn/guide) - [Reference Doc.](https://doc.dataiku.com/) - [Q & A](https://answers.dataiku.com/) - [What's new](https://www.dataiku.com/learn/whatsnew) - [Support](https://support.dataiku.com/) - [Resources](https://www.dataiku.com/resources/) - [Overview](https://www.dataiku.com/resources/) - [White Papers](https://www.dataiku.com/resources/whitepapers/) - [Reference Doc.](https://doc.dataiku.com/) - [Webinars](https://www.dataiku.com/resources/webinars/) - [Success Stories](https://www.dataiku.com/resources/success-stories/) - [Company](https://www.dataiku.com/company/) - [Overview](https://www.dataiku.com/company/) - [Our Story](https://www.dataiku.com/company/our-story/) - [Team](https://www.dataiku.com/company/team/) - [Careers](https://www.dataiku.com/company/careers/) - [News](https://www.dataiku.com/company/news/) - [Events](https://www.dataiku.com/company/events/) - [Customers](https://www.dataiku.com/company/customers/) - [Partners](https://www.dataiku.com/company/partners/) - [Blog](https://www.dataiku.com/stories/blog) - [All](https://www.dataiku.com/stories/blog) - [Big Data](https://dataiku-2123903.hs-sites.com/blog/topic/big-data) - [Business](https://dataiku-2123903.hs-sites.com/blog/topic/business) - [Corporate](https://dataiku-2123903.hs-sites.com/blog/topic/corporate) - [Data](https://dataiku-2123903.hs-sites.com/blog/topic/data) - [Data Preparation](https://dataiku-2123903.hs-sites.com/blog/topic/data-preparation) - [Data Science](https://dataiku-2123903.hs-sites.com/blog/topic/data-science) - [Data Visualisation](https://dataiku-2123903.hs-sites.com/blog/topic/data-visualisation) - [Data Visualization](https://dataiku-2123903.hs-sites.com/blog/topic/data-visualisation) - [Event](https://dataiku-2123903.hs-sites.com/blog/topic/events) - [Events](https://dataiku-2123903.hs-sites.com/blog/topic/events) - [Interview](https://dataiku-2123903.hs-sites.com/blog/topic/interview) - [Machine Learning](https://dataiku-2123903.hs-sites.com/blog/topic/machine-learning) - [Opinion](https://dataiku-2123903.hs-sites.com/blog/topic/opinion) - [Technology](https://dataiku-2123903.hs-sites.com/blog/topic/technology) - [Visual Data Analysis](https://dataiku-2123903.hs-sites.com/blog/topic/visual-data-analysis) - [Contact us](https://www.dataiku.com/dss/contact/) - [Get Started](https://www.dataiku.com/dss/trynow/) ## What Makes a movie A Box Office Success? [Jed Dougherty](https://www.linkedin.com/in/jediv/), Data Scientist at Dataiku, looked into the features that make a movie popular. He gives a step-by-step explanation of the data science process he developed and discusses the accuracy of different machine learning models:     Want to learn more from talented data professionals? [Join us at our next meetup! ](https://pages.dataiku.com/dataconnect-meetups) [![CHECK OUT OUR UPCOMING MEETUPS](https://no-cache.hubspot.com/cta/default/2123903/8c947956-b6d1-4252-b231-fd310e443f68.png)](https://cta-redirect.hubspot.com/cta/redirect/2123903/8c947956-b6d1-4252-b231-fd310e443f68) ### Explore Our White Papers - [![ed02e271-white-paper-cover_0e70hr0ch0hr00v000.png](https://pages.dataiku.com/hubfs/Cover/ed02e271-white-paper-cover_0e70hr0ch0hr00v000.png "ed02e271-white-paper-cover_0e70hr0ch0hr00v000.png")](https://pages.dataiku.com/challenges-creating-data-science-lab-department) - [![WP-NURTURING-SNAPSHOT.jpg](https://pages.dataiku.com/hubfs/Cover/WP-NURTURING-SNAPSHOT.jpg "WP-NURTURING-SNAPSHOT.jpg")](https://pages.dataiku.com/nurturing-a-productive-data-team) - [![putting-data-science-in-production.jpg](https://pages.dataiku.com/hubfs/Cover/putting-data-science-in-production.jpg "putting-data-science-in-production.jpg")](https://pages.dataiku.com/development-to-production-guide) - [![WP-TOOL-SNAPSHOT.jpg](https://pages.dataiku.com/hubfs/Why%20data%20science%20platform/WP-TOOL-SNAPSHOT.jpg "WP-TOOL-SNAPSHOT.jpg")](https://pages.dataiku.com/en-us/why-teams-need-data-science-tools) - Product - [Overview](https://www.dataiku.com/dss/) - [Features](https://www.dataiku.com/dss/features/connectivity/) - [Plugins](https://www.dataiku.com/dss/plugins/) - [Samples](https://www.dataiku.com/dss/samples/) - [Editions](https://www.dataiku.com/dss/editions/) - Solutions - [Use Cases](https://www.dataiku.com/solutions#use-cases) - [Industries](https://www.dataiku.com/solutions#industries) - [Departments](https://www.dataiku.com/solutions#departments) - [Customers](https://www.dataiku.com/solutions#customers) - Learn - [Overview](https://www.dataiku.com/learn/) - [User Guide](https://www.dataiku.com/learn/guide/) - [Reference Doc](https://doc.dataiku.com/) - [Q & A](https://answers.dataiku.com/) - [What's New](https://www.dataiku.com/learn/whatsnew/) - [Support](https://support.dataiku.com/) - Resources - [Overview](https://www.dataiku.com/resources/) - [White Papers](https://www.dataiku.com/resources/whitepapers/) - [Reference Doc](https://doc.dataiku.com/) - [Webinars](https://www.dataiku.com/resources/webinars/) - [Success Stories](https://www.dataiku.com/resources/success-stories/) - Company - [Overview](https://www.dataiku.com/company/) - [Our Story](https://www.dataiku.com/company/our-story/) - [Team](https://www.dataiku.com/company/team/) - [Career](https://www.dataiku.com/company/careers/) - [News](https://www.dataiku.com/company/news/) - [Events](https://www.dataiku.com/company/events/) - [Customers](https://www.dataiku.com/company/customers/) - [Partners](https://www.dataiku.com/company/partners/) ### Contact [Contact us](https://www.dataiku.com/dss/contact/) +1 646-568-7477 ### Follow us - [Twitter](https://twitter.com/dataiku) - [Slideshare](https://slideshare.net/Dataiku) - [Youtube](https://www.youtube.com/dataiku) - [Linkedin](https://www.linkedin.com/company/dataiku/) [![Group 17](https://pages.dataiku.com/hs-fs/hubfs/Group%2017.png?width=180&height=48&name=Group%2017.png)](https://www.dataiku.com/solutions/#) ©Dataiku 2012-2025 - [Legal Notice](https://www.dataiku.com/privacy.html)