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Netflix Content Quality & Discovery Data
Entertainment & Media Consumption
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset addresses the common issue of finding quality content amidst a vast catalogue, specifically on Netflix. It aims to help users discover underrated content and hidden gems. The dataset aggregates information from multiple sources, including Netflix itself, Rotten Tomatoes, and IMDb, combining various attributes to provide deeper insights into content quality and characteristics. A unique "Hidden Gem Score" is included, calculated based on low review counts and high user ratings, making it easier to identify valuable content that might otherwise be overlooked. This dataset powers the FlixGem.com platform, a related project designed for interactive exploration.
Columns
The dataset includes several key columns to facilitate detailed analysis of Netflix content:
- Title: The name of the movie or series.
- Genre: Hundreds of genre classifications for the content.
- Tags: Thousands of detailed tags describing the content.
- Languages: Languages available for the content, including English and many others.
- Series or Movie: Indicates whether the content is a TV series or a movie.
- Hidden Gem Score: A calculated metric based on low review counts and high ratings to identify hidden gems.
- Country Availability: Information on Netflix country availability for the content.
- Runtime: The duration of the series or movie.
- Director: The director of the content.
- Writer: The writer of the content.
Distribution
The data files are typically in CSV format. This dataset is regularly updated, with monthly revisions to ensure freshness. It was last updated in early April 2021. The dataset is version 1.0. While specific total row or record counts are not provided, some columns feature a considerable number of unique values, such as over 15,000 unique genres and over 13,000 unique languages.
Usage
This dataset is ideal for various analytical and exploratory applications, including:
- Finding correlations between ratings, actors, directors, and box office performance.
- Identifying patterns related to content quality based on characteristics like language and genre.
- Discovering hidden gems across different regions.
- Interactive browsing and knowledge discovery through platforms like FlixGem.com, which is powered by this very dataset.
- Developing machine learning models for content recommendation or classification.
Coverage
The dataset offers global regional coverage, with a specific column indicating Netflix country availability for content. It focuses on recent Netflix data, with monthly updates provided. The last update was in early April 2021. The content spans a wide range of genres and includes various languages, with English being a significant portion. Runtime varies, with a large percentage of content being 1-2 hours long, followed by content under 30 minutes.
License
CCO
Who Can Use It
This dataset is designed for anyone interested in delving deeply into Netflix content, including:
- Data analysts looking to unearth trends and insights.
- Researchers studying media consumption patterns or content quality.
- Developers creating recommendation engines or content discovery tools.
- Machine learning practitioners building models for classification or prediction.
- Content strategists seeking to understand what makes content resonate.
- Individuals simply curious about finding their next favourite show or movie.
Dataset Name Suggestions
- Netflix Hidden Gems Dataset
- Netflix Content Quality & Discovery Data
- Global Netflix Catalogue Insights
- Curated Netflix Content Attributes
- Netflix Underrated Content Analysis
Attributes
Original Data Source: Latest Netflix data with 26+ joined attributes
QUALITY