Data Summary
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 descriptionThis 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>