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Data Table Summary

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Vveagy
Last edited Sep 5, 2018
Created on Sep 5, 2018
Forked from 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.

AI-generated description

This program prints a summary of a data table.

This data is about Gross Domestic Product of all countries between 1970 and 2017.

This data comes from World Bank national accounts data: GDP (current US$) 1970-2017 .

MIT Licensed

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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.

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This example summarizes a CSV of World Bank GDP data for all countries from 1960–2017. It displays the total row and column counts, the file size in kilobytes, and a JSON-formatted preview of the first 10 rows. The code uses `d3.csv` to load the data, `d3.csvFormat` to calculate the file size, and `d3.select` to append `<pre>` elements showing the summary. The output appears in monospace green text on a black background.

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This example summarizes a CSV of World Bank GDP data for all countries from 1960–2017. It displays the total row and column counts, the file size in kilobytes, and a JSON-formatted preview of the first 10 rows. The code uses `d3.csv` to load the data, `d3.csvFormat` to calculate the file size, and `d3.select` to append `<pre>` elements showing the summary. The output appears in monospace green text on a black background.

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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.

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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.

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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.

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