Data Table Summary

Data Table Summary

This example displays a plain-text summary of a CSV dataset containing 2018 population estimates for the most populous countries, sourced from the United Nations World Population Prospects. It shows the total row and column counts, the dataset size in kilobytes, and the first ten rows as formatted JSON. The visualization uses D3 v5’s `csv` loader to fetch the data, `csvFormat` to calculate file size, and `select` to append `<pre>` elements with the summary information. A minimal black-and-green terminal aesthetic is applied via CSS.

MMukund Khandelwal

95% match

Data Table Summary

This example displays a plain-text summary of a small CSV dataset containing the 2018 populations of the ten most populous countries, sourced from the United Nations World Population Prospects 2017. It shows the row and column counts, file size in kilobytes, and the first ten rows formatted as JSON. The implementation uses d3.csv to load the data, d3.csvFormat to compute its byte length, and d3.select to append <pre> elements to the body, with the result styled in a terminal-like green-on-black theme.

Data Table Summary

This example prints a text summary of a CSV data table about the most populous countries in 2018, sourced from the United Nations World Population Prospects 2017. It displays the total row count, column count, and file size in kilobytes, followed by the first ten rows as formatted JSON. The code uses d3.csv to load the data, d3.csvFormat to compute the data size, and d3.select to append pre elements to the body. The terminal-style black background with green monospace text echoes a command-line interface.

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.

TTLAndrade

Fork of Data Table Summary

This visualization presents a concise text-based summary of a CSV dataset containing population figures for the ten most populous countries in 2018, sourced from the United Nations World Population Prospects 2017. 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 v5's `csv` and `csvFormat` functions to load and measure the data, then appends the output to the page as styled `pre` elements with a green-on-black terminal aesthetic.

Rrjohnson5016

Data Table Summary

This example displays a plain-text summary of a CSV file containing the 2018 populations of the ten most populous countries. It first outputs the row count, column count, and file size in kilobytes, then prints the first ten rows as formatted JSON. The visualization uses D3's `csv`, `csvFormat`, and `select` APIs to load and process the data, appending the results to the page as preformatted text blocks. The data originates from the United Nations World Population Prospects 2017.

Mmeihaoming

Data Table Summary

This example displays a plain-text summary of a CSV dataset listing the most populous countries in 2018, showing the row count, column count, file size in kilobytes, and the first ten rows as JSON. It loads the data with `csv` from D3 v5, formats the data back to CSV using `csvFormat` to calculate its size, and appends the results as `<pre>` elements. The data originates from the United Nations’ World Population Prospects 2017 estimates.

Data Table Summary

This example summarizes a dataset of the most populous countries in 2018, sourced from the United Nations World Population Prospects. 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 v5’s `csv` and `csvFormat` methods to load and measure the data, then appends `<pre>` elements to the body, styling the output in a monospace green-on-black terminal aesthetic.