Skip to main content
SimilarExport ZIP
100%

Data Table Summary

✓ Published0🌍 Public
Vveagy
Last edited Sep 5, 2018
Created on Sep 5, 2018
Forked from Data Table Summary

This example summarizes a CSV dataset of population estimates for the most populous countries from 1970 to 2017, sourced from the United Nations World Population Prospects 2017. It uses D3 v5’s `csv` loader to parse the data, then displays the total row count, column count, and file size in kilobytes. The page also prints the first ten rows as formatted JSON, with the results styled in a terminal-like green-on-black theme via CSS.

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.

MIT Licensed

Similar vizzes

Loading thumbnail…

Data Table Summary

This example displays a plain-text summary of a CSV dataset about population estimates from the United Nations’ World Population Prospects 2017. It uses d3.csv to load the data, then d3.csvFormat and the data’s length to calculate and print the total row count, column count, and file size in kilobytes, followed by a JSON representation of the first ten rows. The output is rendered in a green monospace font on a black background, mimicking a terminal interface.

Vveagy
94% 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
93% 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
93% 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
93% 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
93% 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
93% 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
93% 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
93% match