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IMDB Movies (Top 1000) dataset

✓ Published1🌍 Public
VVinayak Revankar
Last edited Sep 4, 2025
Created on Sep 4, 2025

This example loads the IMDB Movies (Top 1000) dataset from a CSV file and displays its raw contents as a formatted JSON preview. It demonstrates asynchronous data fetching with the Fetch API and parsing with `d3.csvParse`, converting string values into proper numeric types. The visualization uses D3 v7's `select` and data joins to render the state, first showing a loading status, then an error message if fetching fails, and finally the parsed movie records. The code follows a minimal state management pattern where a `setState` function triggers re-rendering of the container.

AI-generated description

IMDB Movies Dataset

This dataset contains information about movies including their rank, title, genre, directors, actors, runtime, ratings, votes, revenue, and metascores.
It can be used to analyze movie trends, genre popularity, audience ratings, and financial performance.

Attribute Descriptions (VAD Framework)

Attribute Type Description
rank Quantitative Position of the movie in the dataset (ranked list)
title Categorical Title of the movie
genre Categorical Genres associated with the movie (comma-separated)
director Categorical Director(s) of the movie
actors Categorical Lead actors/actresses in the movie
year Ordered (Time) Year of release
rating Quantitative IMDB user rating (scale of 0–10)
votes Quantitative Number of user votes on IMDB
revenue (Millions) Quantitative Revenue generated by the movie in millions of USD (if available)
metascore Quantitative Metascore rating from critics (0–100, if available)
MIT Licensed

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