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TMDB Latest Movies Dataset
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About
This dataset features the latest 10,000 movies from The Movie Database (TMDB), offering a current snapshot of cinematic content. It serves as a valuable resource for a variety of analytical pursuits, enabling users to derive insights into movie trends, audience preferences, and industry dynamics. The collection includes various attributes that describe each film, such as title, language, release details, and viewer engagement metrics.
Columns
- Index: A unique identifier for each row in the dataset.
- Title: The name by which the movie is known.
- Original Language: The primary language in which the movie was produced. This can offer perspective on target audiences and geographic reach.
- Release Date: The official date when the movie became available for public viewing. This information can influence market analysis and competitive strategies.
- Popularity: A metric indicating how well-known or frequently discussed a particular movie is, potentially based on online activity and viewer interest.
- Vote Average: The average rating or score assigned to the movie by viewers who have submitted their votes. A higher average generally suggests positive reception.
- Vote Count: The total number of votes or ratings a movie has gathered from its viewers, which can imply a larger audience or more engaging content.
- Overview: A concise summary or description outlining the movie's plot, main themes, and general content.
Distribution
The dataset is provided in CSV format and contains information on 10,000 movies. It consists of 8 distinct columns. While most columns have a full count of 10,000 valid entries, the 'release_date' column has 9,982 valid entries with 18 missing values, and the 'overview' column has 9,905 valid entries with 95 missing values. The overall size of the dataset is 3.35 MB.
Usage
This dataset is well-suited for several applications, including:
- Movie Analysis: Exploring trends, patterns, and characteristics across a large collection of films.
- Recommendation Systems: Developing and testing algorithms for suggesting movies to users based on various attributes.
- Popularity Measurement: Gauging the renown and discussion levels surrounding different movies.
- Audience Engagement: Understanding how viewers interact with and respond to cinematic content.
- Comparative Analysis: Contrasting movies based on their attributes, performance, and reception.
Coverage
The dataset's coverage spans a wide range of movies as indicated by the 10,000 entries and diverse original languages, with English (en) being the most common at 72%, followed by Japanese (ja) at 7%, and a variety of other languages making up the remaining 21%. The 'release_date' column suggests a broad temporal scope, with 5,801 unique release dates, and the most frequently occurring release date points to recent additions from 15-08-2023. This allows for insights into current and historical film releases.
License
CC0: Public Domain
Who Can Use It
This dataset is ideal for:
- Data Analysts: To uncover insights and trends within the film industry.
- Machine Learning Engineers: For building and refining movie recommendation engines.
- Researchers: To conduct studies on cinematic characteristics, audience behaviour, and film popularity.
- Content Creators and Marketers: To understand audience preferences and inform content strategies.
- Students: As a practical resource for learning data analysis and visualization techniques.
Dataset Name Suggestions
- TMDB Latest Movies Dataset
- 10K Movie Insights Collection
- Global Film Data by TMDB
- Cinematic Trends Dataset
- Movie Popularity & Ratings
Attributes
Original Data Source: TMDB Latest Movies Dataset
QUALITY