Data Summary

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✓ Published0🌍 Public

Last edited Sep 19, 2017

Created on Sep 19, 2017

This block displays a statistical summary of a dataset on U.S. Congress members, using Datalib to compute and render summary statistics from a CSV file. The visualization presents key measures for each numeric column—such as age and term start—including counts, means, standard deviations, minimums, and maximums, alongside categorical variable breakdowns like chamber and party. The data, sourced from Five Thirty Eight, is loaded from a remote CSV and summarized in a clean tabular layout. Built with D3 v4 and Datalib, it offers a quick overview of the dataset's shape and can be adapted for other data by swapping the source file.

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 is from Five Thirty Eight and is availible at https://raw.githubusercontent.com/fivethirtyeight/data/master/congress-age/congress-terms.csv

This dataset is about individuals elected to the US Congress

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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