Dark Mode
Spanish Film Grade Prediction Dataset
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Presents metadata and user ratings for 119,003 films sourced from the Spanish website Filmaffinity. This product facilitates exploration and analysis of cinematic data, specifically enabling users to predict audience grades. The information captures films released throughout the period 1900 to 2020.
Columns
- Title (Título): The primary title of the film.
- Year (Año): The year the film was released.
- Country (País): The nation or nations credited for the film's production.
- Direction (Dirección): The director(s) of the work. Note that approximately 1% of records lack this information.
- Casting (Reparto): The main cast members. Note that approximately 21% of records have missing cast information.
- Filmaffinity mark given by users (Nota): The numerical grade assigned by Filmaffinity users.
- Kind of film (Tipo filme): Classification regarding the type of cinematic work.
- Genre (Género): The stylistic category of the film.
Distribution
The data is delivered in a CSV format file, filmaffinity_dataset.csv, and has a size of 24.29 MB. It contains information on 119,003 individual records. This data product is a static resource, with an expected update frequency of never.
Usage
This data product is suited for projects involving movie rating prediction, general data analytics, and educational purposes (labelled as beginner-friendly). It is particularly valuable for modelling relationships between film metadata (like genre and country) and user sentiment (Filmaffinity grades). It also supports research into historical film release patterns over a 121-year period.
Coverage
The temporal scope spans films released between 1900 and 2020. The source material is primarily in Spanish, originating from the Filmaffinity website. It covers a global range of cinematic works indexed by the site.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: For understanding trends in user-assigned movie grades.
- Machine Learning Engineers: For developing and training models aimed at predicting film success or audience reception.
- Researchers: For studying global or Spanish-market cinematic output and historical trends.
- Students: To practice fundamental data analytics tasks using tools like pandas.
Dataset Name Suggestions
- Filmaffinity User Ratings and Metadata
- Global Movie Database 1900-2020
- Spanish Film Grade Prediction Dataset
Attributes
Original Data Source: Spanish Film Grade Prediction Dataset
QUALITYLoading...