Data Table Summary

Data Table Summary

100% match

Data Table Summary

This example summarizes a CSV dataset of World Bank GDP figures for 264 countries from 1970 to 2017. It displays the row count, column count, and file size in kilobytes, followed by a JSON-formatted preview of the first 10 rows. The visualization uses D3 v5’s `csv` and `csvFormat` functions to load and measure the data, and appends the summary to the page as `pre` elements with a monospace terminal aesthetic.

Data Table Summary

This example displays a plain-text summary of a CSV file containing World Bank GDP data for 264 countries from 1970 to 2017. It shows the dataset’s row count, column count, and file size in kilobytes, followed by a JSON-formatted preview of the first 10 rows. Using the D3 `csv` and `csvFormat` methods to load and measure the data, it appends the results as text elements to the body via D3 selections.

Data Table Summary

This example displays a plain-text summary of a World Bank dataset covering GDP for all countries from 1960 to 2017, showing the row and column counts, the dataset’s size in kilobytes, and the first ten rows as formatted JSON. The page uses black background with green monospace text. It loads the data with `d3.csv`, formats the size with `csvFormat`, and appends the summary and sample rows as `<pre>` elements using D3 selections.

Data Table Summary

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.

93% match

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

87% 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.