Data Table Summary

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 visualization displays a plain-text summary of a CSV dataset containing population and economic indicators for the most populous countries from 2018, sourced from the United Nations World Population Prospects. It reports the total row count, column count, and file size in kilobytes, followed by the first ten rows formatted as JSON. The code uses D3 v5’s `csv` loader and `csvFormat` to parse and measure the data, then appends pre-formatted text elements to the page body. Styling applies a monochrome green-on-black terminal aesthetic via external 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 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. The display reports the number of rows, columns, and file size in kilobytes, followed by the first ten rows of data formatted as JSON. The program uses the D3 v5 library’s `csv` selector to load the data and `csvFormat` to compute its size, then appends the results to the page’s body as three separate `pre` elements.

MMukund Khandelwal

Data Table Summary

This example summarizes the structure of a CSV dataset containing 2018 population estimates for the most populous countries, sourced from the United Nations World Population Prospects 2017. It displays the total number of rows, columns, and file size in kilobytes, followed by the first ten rows formatted as JSON. The visualization uses d3.csv to load the data, d3.csvFormat to calculate file size, and appends the summary and preview as text elements to the page body with d3.select.

Data Table Summary

Data Table Summary