DATA VISUALIZATION

DATA VISUALIZATION

This example loads a CSV of country populations from a GitHub gist and displays a plain-text summary of the dataset in the browser. Using `d3.csv`, it fetches the data and then computes the file size in kilobytes, row count, and column count, which are formatted with `d3.csvFormat` and written to a `<pre>` element styled with black background and green text. The data originates from the 2018 United Nations World Population Prospects estimate, though the live code references a different gist URL than the documented file.

Aajaysonu

93% match

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

88% match

Data Table Summary

This example summarizes a CSV of 2018 population estimates from the United Nations World Population Prospects. It displays the number of rows, columns, and file size in kilobytes, followed by the first ten rows as formatted JSON. The code uses `d3.csv` to load the data, `d3.csvFormat` to calculate its byte size, and D3 selections to append `<pre>` elements to the page body. The data is shown in a monospaced, green-on-black terminal style.

88% match

Data Table Summary

This example displays a plain-text summary of a CSV dataset about population estimates from the United Nations’ World Population Prospects 2017. It uses d3.csv to load the data, then d3.csvFormat and the data’s length to calculate and print the total row count, column count, and file size in kilobytes, followed by a JSON representation of the first ten rows. The output is rendered in a green monospace font on a black background, mimicking a terminal interface.

88% match

Data Table Summary

This example displays a plain-text summary of a CSV data table, showing the row count, column count, and file size in kilobytes, followed by the first 10 rows formatted as JSON. It uses D3 v5’s `csv` loader to fetch `data.csv`, which contains 2018 population estimates from the United Nations World Population Prospects. The code relies on `select` to append `<pre>` elements and `csvFormat` to compute the data’s size, presenting the results with a terminal-style green-on-black styling.

Data Table Summary

This example prints a text summary of a CSV data table about the most populous countries in 2018, sourced from the United Nations World Population Prospects 2017. It displays the total row count, column count, and file size in kilobytes, followed by the first ten rows as formatted JSON. The code uses d3.csv to load the data, d3.csvFormat to compute the data size, and d3.select to append pre elements to the body. The terminal-style black background with green monospace text echoes a command-line interface.

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