Data Summary

Data Summary

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.

84% match

Data Summary

This example provides a text summary of a tabular dataset, displaying the number of rows, columns, and file size, followed by a statistical breakdown of each column. It uses the Datalib library’s `format.summary` function to generate the column statistics, while D3.js (v4) is used to load the CSV file via `d3.csv` and render the resulting text into a `<pre>` element on the page. The data represents 341 Boston roadway projects from FY2017.

TTaraZhu

80% match

Data Summary

This example displays a plain-text summary of a 721-row Pokémon dataset, showing the number of rows, columns, file size, and per-column statistics. It loads the CSV with `d3.csv` and uses Datalib’s `dl.format.summary` to generate the statistical breakdown. The code then appends the result as a `<pre>` element and logs it to the console.

TTaraZhu

Fork of Data Table Summary

This example displays a summary of a tabular dataset, showing the row and column counts, the data size in kilobytes, and the first ten rows formatted as JSON. The code fetches COVID-19 case data from NYC Health’s GitHub repository using `d3.csv`, then appends `<pre>` elements to the body via `d3.select`. It relies on `csvFormat` to calculate file size and `JSON.stringify` to pretty-print the sample rows. The terminal-style black background with green text is set in CSS.

TTomoyukiEguchi

Data Summary

This example displays a plain-text summary of a car dataset from the UCI Machine Learning Repository, showing the total row count, column count, file size in kilobytes, and per-column statistics like type, min, max, and mean. The code loads the CSV with `d3.csv`, formats the data with `d3.csvFormat`, and uses Datalib’s `dl.format.summary` to generate the statistical breakdown. The result is rendered in a `<pre>` element and also logged to the browser console.

Data Summary

Data Summary

This example displays a text-based summary of a dataset about affordable housing projects in Los Angeles, sourced from DataLA. It lists the total number of rows, columns, and file size, followed by a per-column statistical breakdown. The code loads the CSV data using `d3.csv`, then employs Datalib's `dl.format.summary` function to generate the analysis. The resulting text is rendered into a `<pre>` element using `d3.select` and `append`.