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 ten rows formatted as JSON. The visualization uses d3.csv to load the data, d3.csvFormat to compute the size, and d3.select to append the summaries to the page. The data comes from Yahoo Finance stock prices for five companies.

Vveagy

83% match

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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 ten rows formatted as JSON. The visualization uses d3.csv to load the data, d3.csvFormat to compute the size, and d3.select to append the summaries to the page. The data comes from Yahoo Finance stock prices for five companies.

Vveagy

83% match

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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 ten rows formatted as JSON. The visualization uses d3.csv to load the data, d3.csvFormat to compute the size, and d3.select to append the summaries to the page. The data comes from Yahoo Finance stock prices for five companies.

Vveagy

83% match

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Data Table Summary

This example prints a plain-text summary of a CSV data table. It displays the total row count, column count, and file size in kilobytes, followed by the first ten rows as formatted JSON. The data covers daily high and low stock prices for five companies from Yahoo Finance. The code uses `d3.csv` to load the data, and `d3.csvFormat` and `JSON.stringify` to compute and present the summary.

Vveagy

82% match

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Data Table Summary

This example displays a plain-text summary of a tabular dataset, showing the total row count, column count, and file size in kilobytes. It then prints the first ten rows as formatted JSON. The visualization uses D3 v5 APIs such as `d3.csv` to load the data, `d3.csvFormat` to measure its size, and `d3.select` to append `<pre>` elements to the page. The data consists of daily high and low stock prices for five companies sourced from Yahoo Finance.

Vveagy

82% match

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Data Table Summary

This example summarizes a CSV data table of daily stock prices for five commodities companies in 2018, sourced from the United Nations World Population Prospects. It displays 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 calculate its size, then appends the summary and raw data as text within pre elements.

Vveagy

81% match

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Data Table Summary

This example summarizes a CSV data table of daily stock prices for five commodities companies in 2018, sourced from the United Nations World Population Prospects. It displays 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 calculate its size, then appends the summary and raw data as text within pre elements.

Vveagy

81% match

Loading thumbnail…

Data Table Summary

This example summarizes a CSV data table of daily stock prices for five commodities companies in 2018, sourced from the United Nations World Population Prospects. It displays 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 calculate its size, then appends the summary and raw data as text within pre elements.

Vveagy

81% match

Data Table Summary

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