Data Table Summary

Data Table Summary

This example displays a plain-text summary of a CSV dataset containing 2018 population estimates for the most populous countries, sourced from the United Nations World Population Prospects. It shows the total row and column counts, the dataset size in kilobytes, and the first ten rows as formatted JSON. The visualization uses D3 v5’s `csv` loader to fetch the data, `csvFormat` to calculate file size, and `select` to append `<pre>` elements with the summary information. A minimal black-and-green terminal aesthetic is applied via CSS.

MMukund Khandelwal

Data Table Summary

This example shows a plain-text summary of a dataset containing the 2018 population estimates for the ten most populous countries, sourced from the United Nations World Population Prospects 2017. The page reports the number of rows, columns, and file size in kilobytes, then displays the first ten rows as formatted JSON. It uses `d3.csv` to load the data, `csvFormat` to calculate the size, and `JSON.stringify` for the preview. The terminal-style green-on-black styling is applied via CSS.

Ssrrajendran

Data Table Summary

This example summarizes a CSV dataset of 2018 population estimates for the most populous countries from the UN World Population Prospects. It displays the total row count, column count, and file size in kilobytes, followed by the first ten rows formatted as JSON. The code uses d3.csv to load the data, d3.csvFormat to calculate size, and d3.select to append the results to the body. The output appears in a monospaced preformatted element with a terminal-like green-on-black style.

TTLAndrade

Data Table Summary

This example displays a plain-text summary of a small CSV dataset containing the 2018 populations of the ten most populous countries, sourced from the United Nations World Population Prospects 2017. It shows the row and column counts, file size in kilobytes, and the first ten rows formatted as JSON. The implementation uses d3.csv to load the data, d3.csvFormat to compute its byte length, and d3.select to append <pre> elements to the body, with the result styled in a terminal-like green-on-black theme.

Data Table Summary

This example displays a text-based summary of a population dataset for the ten most populous countries in 2018, sourced from the United Nations World Population Prospects. It shows the total row count, column count, and file size in kilobytes, followed by the first ten rows of the data formatted as JSON. The page uses d3.csv to load the external data.csv file, d3.csvFormat to compute the data size, and d3.select to append <pre> elements displaying the results on a black background with green terminal-style text.

Ppablocenfo

Data Table Summary

This example displays a text-based summary of a CSV dataset containing United Nations 2018 population estimates for the ten most populous countries. It shows the row count, column count, and file size in kilobytes, followed by the first ten data rows formatted as JSON. The visualization uses D3 v5’s `csv` and `csvFormat` functions to load and measure the data, then appends `<pre>` elements to the DOM to render the summary and raw data output.

Data Table Summary

Data Table Summary