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IMDB Top 250 Movies.csv

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IMDB Top 250 Movies.csv

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XXiaojun
Last edited Sep 8, 2025
Created on Sep 3, 2025
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This example loads the IMDB Top 250 Movies dataset and initially displays the raw parsed data as a JSON string in a `<pre>` element. It uses D3 v7's `csvParse` to fetch and transform the CSV file, converting numeric fields like rank, year, rating, budget, and box office to numbers, and parsing run_time strings into total minutes. The visualization shows a loading state before the data appears, demonstrating a simple data-loading and parsing workflow with D3's file handling and selection APIs.

AI-generated description

Dataset: IMDB Top 250 Movies Dataset

Source URL: IMDB Top 250 Movies Dataset

Description

This dataset provides a comprehensive global overview of education, compiled from multiple countries and regions. It covers essential metrics that allow researchers, educators, and policymakers to analyze educational performance and challenges worldwide. The dataset includes out-of-school rates, completion rates, proficiency levels in reading and math, literacy rates, birth rates, and enrollment statistics across primary and tertiary education, as well as unemployment rates.

By integrating demographic and geographic information such as country/region names and coordinates, the dataset allows for geographic visualization and cross-country comparison. It is especially valuable for analyzing disparities in education between genders, income levels, and regions.

Attribute Types

  • rank: Quantitative (ordered)
  • name: Categorical
  • year: Quantitative (time, year)
  • rating: Quantitative (continuous, 1–10 scale)
  • genre: Categorical (multiple categories possible)
  • certificate: Categorical (movie rating certification, e.g., R, PG-13)
  • run_time: Quantitative (time duration, ordered)
  • tagline: Categorical (textual/movie slogan)
  • budget: Quantitative (currency, ratio)
  • box_office: Quantitative (currency, ratio)
  • casts: Categorical (list of actor names)
  • directors: Categorical (list of director names)
  • writers: Categorical (list of writer names)