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Data Summary

✓ Published0🌍 Public

Last edited Oct 1, 2017

Created on Sep 17, 2017

This example displays a textual summary of a data table, showing the number of rows, columns, and file size, followed by per-column statistics computed using Datalib's `dl.format.summary`. The data comes from a Kaggle dataset of Kobe Bryant’s field goal attempts, loaded via `d3.csv` and rendered into a `<pre>` element. The code uses D3 v4 to fetch and format the CSV, while Bootstrap styles the page. The visualization provides a quick overview of the dataset’s structure without any charts or graphs.

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.

Kobe Shoots

This data is from Kobe Bryant Shot Selection. This is a kaggle playgroup event. The data contains the location and circumstances of every field goal attempted by Kobe Bryant took during his 20-year career. Your task is to predict whether the basket went in. For data visualization purpose, I remove this column for better use.

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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