Data Table Summary

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.

96% match

Data Table Summary

96% match

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.

94% match

Data Table Summary

This example summarizes a CSV data table of self-reported life satisfaction by country and year from the World Happiness Report 2017. It displays the total row count, column count, and file size, followed by the first 10 rows of data as formatted JSON. The page uses d3.csv to load the dataset, d3.csvFormat to measure its size, and d3.select to append the results to the DOM as preformatted text.

90% 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.

89% match

Data Table Summary

This example displays a plain-text summary of a CSV dataset, reporting the row count, column count, and file size in kilobytes, followed by a JSON-formatted preview of the first ten rows. It loads the data using `d3.csv` and formats the output with `csvFormat` from D3 v5. The data originates from the United Nations World Population Prospects 2017, containing population estimates for countries from 1970 to 2017. The visualization presents this information in a monospaced, terminal-like style on a black background.

87% 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.

87% match

Data Table Summary

This example displays a plain-text summary of a dataset containing World Bank GDP figures for all countries from 1970 to 2017. It reports the row count, column count, file size in kilobytes, and prints the first ten rows as formatted JSON. Using D3 v5’s `csv` and `csvFormat` methods, it loads the remote CSV file and calculates the data size, then appends the results to the page with `select` and `append`. The dark terminal-style styling comes from the accompanying CSS.