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.

95% match

Data Table Summary

95% match

Data Table Summary

This example displays a text-based summary of a dataset from the World Happiness Report 2017, showing the row count, column count, file size in kilobytes, and the first 10 rows as formatted JSON. Using d3.csv to load the data and d3.csvFormat to calculate size, it appends the results to the DOM in monospace ’pre’ elements. The black background and green terminal-style text create a simple, console-like presentation of the data table’s structure and contents.

94% match

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.

91% match

Data Table Summary

This example displays a plain-text summary of a CSV file, showing the row count, column count, and file size in kilobytes, followed by the first 10 rows as formatted JSON. The visualization uses D3 v5’s `select` and `csv` APIs to load and parse the data, then writes the output into `pre` elements on a black background with green monospace text. The data, sourced from a file about Mario game sales, is processed entirely in the browser without additional rendering libraries.

91% match

Data Table Summary

This example displays a plain-text summary of a loaded CSV file, showing the total row count, column count, and file size in kilobytes, followed by the first ten rows formatted as JSON. It imports `select`, `csv`, and `csvFormat` from D3 v5 to fetch `data.csv` and compute the byte length. The output renders in a monospace `<pre>` element styled with green-on-black terminal colors. The dataset describes daily high and low stock prices for several tickers, sourced from a 2018 United Nations population report.

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.

90% 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.