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Data Table Summary

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TTLAndrade
Last edited Aug 9, 2019
Created on Aug 9, 2019
Forked from Data Table Summary

This example summarizes a CSV dataset of 2018 population estimates for the most populous countries from the UN 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, d3.csvFormat to calculate size, and d3.select to append the results to the body. The output appears in a monospaced preformatted element with a terminal-like green-on-black style.

AI-generated description

This program prints a summary of a data table.

This data is about population of the most populous countries in 2018.

This data comes from the year 2018 estimate in United Nations: World Population Prospects 2017.

The data is a "file" here, but the recommended approach is to upload the data seprately, as in the video below.

MIT Licensed

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Data Table Summary

This example summarizes the structure of a CSV dataset containing 2018 population estimates for the most populous countries, sourced from the United Nations World Population Prospects 2017. It displays the total number of rows, columns, 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 calculate file size, and appends the summary and preview as text elements to the page body with d3.select.

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Data Table Summary

This example summarizes the structure of a CSV dataset containing 2018 population estimates for the most populous countries, sourced from the United Nations World Population Prospects 2017. It displays the total number of rows, columns, 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 calculate file size, and appends the summary and preview as text elements to the page body with d3.select.

Vveagy
96% match
Loading thumbnail…

Data Table Summary

This example summarizes the structure of a CSV dataset containing 2018 population estimates for the most populous countries, sourced from the United Nations World Population Prospects 2017. It displays the total number of rows, columns, 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 calculate file size, and appends the summary and preview as text elements to the page body with d3.select.

Vveagy
96% match
Loading thumbnail…

Data Table Summary

This example summarizes the structure of a CSV dataset containing 2018 population estimates for the most populous countries, sourced from the United Nations World Population Prospects 2017. It displays the total number of rows, columns, 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 calculate file size, and appends the summary and preview as text elements to the page body with d3.select.

Vveagy
96% match
Loading thumbnail…

Data Table Summary

This example summarizes the structure of a CSV dataset containing 2018 population estimates for the most populous countries, sourced from the United Nations World Population Prospects 2017. It displays the total number of rows, columns, 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 calculate file size, and appends the summary and preview as text elements to the page body with d3.select.

Vveagy
96% match
Loading thumbnail…

Data Table Summary

This example summarizes the structure of a CSV dataset containing 2018 population estimates for the most populous countries, sourced from the United Nations World Population Prospects 2017. It displays the total number of rows, columns, 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 calculate file size, and appends the summary and preview as text elements to the page body with d3.select.

Vveagy
96% match
Loading thumbnail…

Data Table Summary

This example summarizes the structure of a CSV dataset containing 2018 population estimates for the most populous countries, sourced from the United Nations World Population Prospects 2017. It displays the total number of rows, columns, 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 calculate file size, and appends the summary and preview as text elements to the page body with d3.select.

Vveagy
96% match
Loading thumbnail…

Data Table Summary

This example summarizes the structure of a CSV dataset containing 2018 population estimates for the most populous countries, sourced from the United Nations World Population Prospects 2017. It displays the total number of rows, columns, 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 calculate file size, and appends the summary and preview as text elements to the page body with d3.select.

Vveagy
96% match