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.

95% 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.

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 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.

Data Table Summary

This example summarizes a CSV dataset of population estimates for the most populous countries from 1970 to 2017, sourced from the United Nations World Population Prospects 2017. It uses D3 v5’s `csv` loader to parse the data, then displays the total row count, column count, and file size in kilobytes. The page also prints the first ten rows as formatted JSON, with the results styled in a terminal-like green-on-black theme via CSS.

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 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.

93% 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.