Data Table Summary

Data Table Summary

This example displays a plain-text summary of a CSV dataset, showing the total number of rows, columns, and file size, followed by the first ten rows rendered as formatted JSON. It uses D3 v5’s `csv` and `csvFormat` functions to load and measure the data, and `select` to append `<pre>` elements to the page. The data, sourced from the World Happiness Report 2017, is displayed in a monospaced terminal style with green text on a black background.

84% match

Data Table Summary

This example displays a textual summary of a dataset of the world’s most populous countries from 2018, sourced from the United Nations. It shows the total row count, column count, file size in kilobytes, and the first ten rows as pretty-printed JSON. The code uses d3.csv, d3.csvFormat, and d3.select to load and format data, then appends text to the page via pre elements. A black background with green monospace text mimics a terminal output.

MMukund Khandelwal

83% match

Data Table Summary

This example summarizes a dataset of English Premier League match statistics from football-data.co.uk. It displays the total row count, column count, and file size, followed by the first ten rows of data as formatted JSON. The visualization uses D3 v5’s `csv` and `csvFormat` functions to load and measure the data, rendering results as plain text in HTML `<pre>` elements with a retro green-on-black terminal aesthetic.

MMihir Sawant

83% match

Data Table Summary

This example displays a plain-text summary of a CSV data table, showing row count, column count, file size, and the first 10 rows as formatted JSON. It uses d3.csv to load the data and d3.csvFormat to compute its byte size. The page renders the information in green monospace text on a black background, with the data sourced from the United Nations World Population Prospects 2017.

Vveagy

Data Table Summary

This example displays a text-based summary of a dataset from the World Happiness Report 2017, showing the row count, column count, file size in kilobytes, and the first 10 rows as formatted JSON. Using d3.csv to load the data and d3.csvFormat to calculate size, it appends the results to the DOM in monospace ’pre’ elements. The black background and green terminal-style text create a simple, console-like presentation of the data table’s structure and contents.

Data Table Summary

This example displays a text-based summary of a dataset about happiness percentages from the World Happiness Report 2017, showing row count, column count, file size in kilobytes, and the first ten rows as formatted JSON. It uses D3 v5’s `csv` and `csvFormat` functions to load and measure the data, then appends `<pre>` elements to the page body with `select` and `append`. The interface applies a retro terminal aesthetic with a black background and green monospace text via CSS.

Data Table Summary

Data Table Summary

This example displays a plain-text summary of a loaded CSV file, showing the total row count, column count, and file size in kilobytes, followed by the first ten rows formatted as JSON. It imports `select`, `csv`, and `csvFormat` from D3 v5 to fetch `data.csv` and compute the byte length. The output renders in a monospace `<pre>` element styled with green-on-black terminal colors. The dataset describes daily high and low stock prices for several tickers, sourced from a 2018 United Nations population report.

Vveagy