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JJamesHop31
Last edited Jun 2, 2022
Created on Jun 2, 2022
Forked from Cars Report

This example displays a plain-text summary of a CSV dataset listing the populations of the most populous countries, based on 2018 United Nations estimates. The page prints the total row count, column count, and file size in kilobytes, followed by the first ten rows of data in a formatted JSON structure. The implementation uses D3 v7 methods `select`, `csv`, and `csvFormat` to load the data, compute its metadata, and render the output as HTML `pre` elements. Styling is provided by an external CSS file.

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An example tutorial of how to use JavaScript objects, arrays, and modules.

MIT Licensed

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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.

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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.

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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.

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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.

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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.

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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.

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This example displays a plain-text summary of a CSV dataset about the world’s most populous countries in 2018, sourced from the United Nations World Population Prospects. It uses d3.csv to load the data, then prints the row and column counts, file size in kilobytes, and the first ten rows as JSON. The page is styled with a black background and green monospaced text, and relies on d3’s csvFormat for size calculation.

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