Data Table Summary

Data Table Summary

This example displays a plain-text summary of a dataset covering worldwide exports to China, the United States, Japan, Brazil, Russia, India, and Mexico from 2000 to 2016, sourced from the World Trade Organization. It shows the total row count, column count, and approximate file size in kilobytes, followed by the first ten rows formatted as JSON. The code uses `d3.csv` to load the data and `d3.csvFormat` to calculate the dataset’s size, then appends the results to the page with standard DOM append operations.

92% match

Data Table Summary

This example displays a plain-text summary of a CSV dataset about the network of world merchandise trade in 2016. It shows the number of rows, columns, and file size in kilobytes, followed by the first 10 rows formatted as JSON. The code uses `d3.csv` to load the data and `d3.csvFormat` to calculate its size, then appends the results to the page with `select` and `append`. The data originates from the World Trade Organization’s 2018 estimates.

88% match

Data Table Summary

88% match

Data Table Summary

88% match

Data Table Summary

This example displays a textual summary of a dataset of the world’s most populous countries from 2018, sourced from the United Nations. It shows the total row count, column count, file size in kilobytes, and the first ten rows as pretty-printed JSON. The code uses d3.csv, d3.csvFormat, and d3.select to load and format data, then appends text to the page via pre elements. A black background with green monospace text mimics a terminal output.

MMukund Khandelwal

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.

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

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.