Data Table Summary: IMF

Data Table Summary: IMF

This example displays a plain-text summary of an IMF dataset of fiscal variables for a panel of countries, including revenue, expenditure, and debt as percentages of GDP. It shows the total row count, column count, and 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 compute its size, then appends the results to the page with D3 selections.

96% match

Data Table Summary: IMF

96% match

Revised Data Table Summary: IMF

This example displays a terminal-style summary of an IMF dataset on fiscal variables as percentages of GDP. Using d3.csv to load the data, it shows the row and column counts, file size in kilobytes, and the first ten rows as pretty-printed JSON via `JSON.stringify`. Styled with black background and green monospace text, the code relies on d3’s `select`, `csv`, and `csvFormat` functions to fetch and measure the dataset.

93% match

Data Summary: IMF

This example displays a plain-text summary of an IMF dataset covering fiscal variables for many countries, showing row and column counts alongside the data size in kilobytes and the first ten rows as JSON. It uses d3.csv to load the remote CSV file, then d3.csvFormat to calculate the file size, and d3.select to append multiple pre elements to the body. The view uses a black background with green monospaced text, styled via CSS, to present the dataset overview without any charts or interaction.

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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.

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Data Table Summary

76% match

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.

75% 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.