Data Summary

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Last edited Sep 18, 2017

Created on Sep 18, 2017

This example displays a plain-text summary of a tabular dataset, listing the row count, column count, file size, and a per-column statistical breakdown. A CSV containing New York City housing development records is loaded with `d3.csv`, then processed by the `dl.format.summary` method from Datalib to generate the column descriptions. The resulting text is rendered inside a `pre` element appended to the body using standard D3 selections in version 4.

AI-generated description

This dataset is from NYC OpenData: Housing New York Units by Building, raw csv file can be found here.

The Department of Housing Preservation and Development (HPD) reports on buildings, units, and projects that began after January 1, 2014 and are counted towards the Housing New York plan. The Housing New York Units by Building file presents this data by building, and includes building-level data, such as house number, street name, BBL, and BIN for each building in a project. The unit counts are provided by building.

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.

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>

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