{"id":25949,"date":"2021-10-19T14:35:41","date_gmt":"2021-10-19T18:35:41","guid":{"rendered":"https:\/\/studentwork.prattsi.org\/infovis\/?p=25949"},"modified":"2021-10-19T14:35:44","modified_gmt":"2021-10-19T18:35:44","slug":"exploring-relationship-between-imdb-ratings-and-streaming-service-films","status":"publish","type":"post","link":"https:\/\/studentwork.prattsi.org\/infovis\/labs\/exploring-relationship-between-imdb-ratings-and-streaming-service-films\/","title":{"rendered":"Exploring relationship between imdb ratings and streaming service films"},"content":{"rendered":"\n

This lab uses Tableau<\/a> to tell a data visualization story.<\/p>\n\n\n\n

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Introduction and Inspiration<\/strong><\/p>\n\n\n\n

More than ten years ago television reached its peak. The year was 2010 and cable providers were seeking more and more ways to sell bundled packages and raise prices. Little did they know, the industry was about to change as Netflix, introduced in 2007, provided consumers with an alternative. One low monthly rate, no commercials, and unlimited access to hundreds of movies and tv shows.\u00a0<\/p>\n\n\n\n

The year 2020 and the surrounding pandemic caused streaming service rates to rise. Netflix alone doubled its expected number of new subscribers in the first three months alone. Despite this, with the pandemic subsiding and individuals looking for ways to regain a semblance of normalcy, cancellations have risen as consumers have been faced with rising prices and questions around which content provider is worth shelling out the monthly bill. <\/p>\n\n\n\n

With this in mind, streaming services have been forced to make decisions over the type of content that will entice individuals to remain subscribers. Therefore, the following process and dashboard provide a glimpse into the types of content that result in the highest ratings from the popular review site IMDb.\u00a0<\/p>\n\n\n\n

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Methods, Processes, and Materials\u00a0<\/strong><\/p>\n\n\n\n

Before starting this process, a data set that supported this investigation needed to be found. For this, the website Kaggle<\/a>, a crowdsourced platform for hosting datasets and challenges, was consulted. The data<\/a> chosen provided a list of 9,515 movies hosted across the streaming services Netflix, Hulu, Amazon Prime, and Disney+. In addition, each entry provided data for the movie\u2019s year, country in which it was produced, IMDb rating, Rotten Tomatoes score, and target age group.\u00a0 <\/p>\n\n\n\n

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Explore dataset<\/a><\/div>\n<\/div>\n\n\n\n

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In order to start formulating questions and interpreting the data, other data visualizations were consulted in order to identify which types of interpretations people might be interested in and familiar with.<\/p>\n\n\n\n