Analysis of ‘📺 Hulu TV Shows and Movies’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/top-1000-most-popular-hulu-showse on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

Background

In the market today, there are only a few competitors for Netflix. One of the top leaders in the streaming shows market is Hulu. Recently my family switched from Netflix to Hulu to try out the options and our experience wasn’t as wonderful as we would have expected. However, instead of giving my opinion, lets pull some data for Hulu shows and analyze the results so that you can make your own decision. For those interested in viewing my micro-research study that I did on Netflix, you can read my article Netflix Show Analysis.

About the Data

The data from Hulu’s shows were in a well-structured format. An example of the JSON object can be found at HuluShows. The 1,000 shows were sorted by “popular of all time” on Hulu. The raw data can be found at raw data.

Sources

Thanks to the micro-research study at The Concept Center for performing this study.

This dataset was created by Chase Willden and contains around 1000 samples along with Show/is Subscriber Only, Show/key Art Url, technical information and other features such as: - Show/description - Show/show Rollups/auth On Web/games Count - and more.

How to use this dataset

• Analyze Show/annotations/0 in relation to Show/show Rollups/current/feature Films Count
• Study the influence of Show/show Rollups/free On Web/games Count on Show/show Rollups/showtime/html5 Videos Count
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Chase Willden

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

Context

This dataset contains OTT + Video Streaming Platforms - Revenue and User Stats 2011-21

Project / Tasks

• Time Series Analysis.
• Market Analysis.
• Analysis and predict future.
• Find patterns.

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About OTT, Video Streaming Platforms

OTT stands for “over-the-top,” which refers to any TV or video content that's streamed over the internet. This includes any web or app-based streaming service, like Netflix, YouTube, Disney Plus and many more. There's a wide range of OTT platforms, including Netflix, Disney+, Hulu, Amazon Prime Video, Hulu, Peacock, CuriosityStream, Pluto TV, and so many more. Unlike OTT platforms, YouTube is a social video platform that was originally designed to allow everyday consumers to share moments caught on video. YouTube has attempted to enter the OTT market a number of times with limited success, since the market clearly sees YouTube as a place for free content.

Content

| | File | File Type | | -- | ---------------------------- | --------- | | 1 | LibrarySize.csv | CSV file | | 2 | MinuteSharing.csv | CSV file | | 3 | AppUsage.csv | CSV file | | 4 | NumSubscribers.csv | CSV file | | 5 | Revenue.csv | CSV file | | 6 | Revenue.csv | CSV file | | 7 | AdRevenue.csv | CSV file | | 8 | LiveTVSubscribers.csv | CSV file | | 9 | NumSubscribers.csv | CSV file | | 10 | Profit.csv | CSV file | | 11 | Revenue.csv | CSV file | | 12 | SubscriptionRevenue.csv | CSV file | | 13 | Valuation.csv | CSV file | | 14 | ContentSpend.csv | CSV file | | 15 | NumSubscribers.csv | CSV file | | 16 | NumSubscribersByRegion.csv | CSV file | | 17 | Profit.csv | CSV file | | 18 | Revenue.csv | CSV file | | 19 | RevenueByRegion.csv | CSV file | | 20 | Revenue.csv | CSV file | | 21 | Users.csv | CSV file | | 22 | AdRevenue.csv | CSV file | | 23 | ConcurrentViewers.csv | CSV file | | 24 | HoursWatched.csv | CSV file | | 25 | MostViewedGamesOnTwitch.csv | CSV file | | 26 | Revenue.csv | CSV file | | 27 | TwitchAgeDemographics.csv | CSV file | | 28 | TwitchGenderDemographics.csv | CSV file | | 29 | TwitchStreamers.csv | CSV file | | 30 | AppUsage.csv | CSV file | | 31 | NumSubscribers.csv | CSV file | | 32 | Revenue.csv | CSV file | | 33 | AppUsage.csv | CSV file | | 34 | NumSubscribers.csv | CSV file | | 35 | Revenue.csv | CSV file | | 36 | TopPlatforms.csv | CSV file | | 37 | PremiumSubscribers.csv | CSV file | | 38 | Revenue.csv | CSV file | | 39 | Users.csv | CSV file |

Download

• kaggle API Command !kaggle datasets download -d azminetoushikwasi/ott-video-streaming-platforms-revenue-and-users

Disclaimer

• The data collected are all publicly available and it's intended for educational purposes only.

Acknowledgement

• Cover image taken from internet.

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Overview

Streaming Services Statistics: Streaming services have transformed the entertainment landscape, revolutionizing how people consume content.

The advent of high-speed internet and the proliferation of smart devices have fueled the growth of these platforms, offering a wide array of movies, TV shows, music, and more, at the viewers' convenience.

This introduction provides an overview of key statistics that shed light on the impact, trends, and challenges within the streaming industry.