Data Table Summary

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.

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 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.

Data Table Summary

This example displays a plain-text summary of a CSV data table, revealing the total row and column counts, file size in kilobytes, and a formatted JSON preview of the first 10 rows. The data comes from the 2018 United Nations World Population Prospects and lists populous countries with their populations. The code uses `d3.csv` to load the data, `d3.csvFormat` to calculate its byte size, and `d3.select` to append the output to the page. The rendering is minimal, with a monochrome green-on-black styling defined in CSS.

CCurran Kelleher

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.

92% match

Data Table Summary

This example displays a plain-text summary of a CSV dataset listing the most populous countries in 2018, showing the row count, column count, file size in kilobytes, and the first ten rows as JSON. It loads the data with `csv` from D3 v5, formats the data back to CSV using `csvFormat` to calculate its size, and appends the results as `<pre>` elements. The data originates from the United Nations’ World Population Prospects 2017 estimates.

92% match

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.

91% match

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.