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Data Summary

✓ Published0🌍 Public
RRainismZ
Last edited Sep 18, 2017
Created on Sep 18, 2017

This example loads a CSV file of English Premier League match data and displays a text-based summary of the dataset’s structure. It computes and prints the total number of rows, columns, file size, and a per-column statistical overview using the Datalib library’s `format.summary` function. The page renders the summary inside a `<pre>` element via D3 v4’s `d3.csv` and `select().append()`, while also logging the same output to the browser console. The code is designed to be reusable with any CSV by simply changing the file path.

AI-generated description

This dataset is about English Premier League (03-04) W/L data. I’m an Arsenal fan and my team accomplished an undefeated season in 03-04 so I choose this set ;)

The raw csv file can be found here in Github.

More about this theme click this link.

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>

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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