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Lego Colors Dataset
This example visualizes the Lego Colors Dataset, displaying the first CSV record’s properties—ID, name, RGB value, and transparency—as formatted JSON in a large, readable pre block. It uses plain JavaScript to import and parse the CSV via a bundled data loader, then renders the parsed object with `JSON.stringify`. The code demonstrates a minimal setup for inspecting raw dataset entries, though it does not yet implement the color wheel, similarity comparisons, or hover interactions described in the project’s goals.
AI-generated descriptionThe Movies Dataset, loaded and parsed as CSV.
Dataset Description This dataset contains detailed information on over 16,000 movies released between 1910 and 2024, along with their corresponding Metacritic ratings. The dataset is an extensive collection for film enthusiasts, researchers, and data scientists interested in exploring trends in cinema over more than a century.
I cut this dataset down to 10,000 entries instead of 16,000 to reduce size
Key Features: Title: The name of the movie. Release Date: The official release date of the movie. Description: A brief synopsis or critical overview of the film. Rating: The average Metacritic score, providing an indication of the movie’s critical reception. Number of Persons Voted: The number of individuals who rated the movie on Metacritic. Directed by: The director(s) of the movie. Written by: The screenwriter(s) responsible for the movie’s script. Duration: The runtime of the movie. Genres: The genre(s) the movie falls under, such as Drama, Comedy, or Action.