IMDB Dataset Schnair

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IMDB Dataset Schnair

✓ Published0🌍 Public

Last edited Sep 4, 2025

Created on Sep 1, 2025

This example demonstrates how to load and parse a dataset of the top 1000 highest-rated IMDB movies and TV shows using D3.js v7. It fetches a CSV file via the `fetch` API, parses it with `csvParse`, and converts numerical fields like `Released_Year`, `IMDB_Rating`, `Meta_score`, and `No_of_Votes` into numbers. The application displays the parsed data as a JSON string in a `<pre>` element, using a simple state management pattern to handle asynchronous loading. The code highlights initial data preparation steps, ready for further aggregation by genre or other visual exploration.

AI-generated description

Description: This dataset contains info on the top 1000 highest rated moveies on IMDB. There is interesting stuff we can do here like aggregate by genre to see what makes a popular or highly rated movie.

URL - https://www.kaggle.com/datasets/harshitshankhdhar/imdb-dataset-of-top-1000-movies-and-tv-shows

Atribute	Data Type
Poster_Link	N/A (Would Drop)
Series_Title	categorical
Released_Year	quantitative
Certificate	ordinal
Runtime	quantitative
Genre	categorical
IMDB_Rating	quantitative
Overview	categorical
Meta_score	quantitative
Director	categorical
Star1	categorical
Star2	categorical
Star3	categorical
Star4	categorical
No_of_Votes	quantitative
Gross	quantitative

MIT Licensed

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