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Data Summary

✓ Published0🌍 Public
Aadamfknapp
Last edited Sep 19, 2017
Created on Sep 19, 2017

This visualization summarizes a dataset of movies by plotting each film as a point, with color-coded categories and axes representing attributes such as budget, gross earnings, IMDb score, and duration. It uses D3 v4 to render an interactive scatterplot, where hovering or clicking highlights individual movies and displays details from the underlying CSV data. The example demonstrates how to map multiple quantitative and categorical fields onto position, color, and size within a single coordinated view.

AI-generated description

This example summarizes a data table using Datalib. You can fork this Block and change the data to get a quick overview of the shape of your data.

This data was scrapped from IMDB and compiled by Kaggle.com . The data is availible at https://www.kaggle.com/deepmatrix/imdb-5000-movie-dataset/data

This dataset shows information on Movies from the United States

forked from <a href='http://bl.ocks.org/curran/'>curran</a>'s block: <a href='http://bl.ocks.org/curran/f849f374f21c490c5490d501636bdb77'>Data Table Summary</a>

mit Licensed

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