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Data Table Summary: Credit Lending

✓ Published1🌍 Public
MMukund Khandelwal
Last edited Sep 1, 2018
Created on Sep 1, 2018
Forked from Data Table Summary

This example summarizes a CSV dataset of the most populous countries 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 a JSON-formatted preview of the first ten rows. The visualization uses d3.csv to load the data and d3.csvFormat to compute file size, rendering the summary as styled text elements in a black-and-green terminal aesthetic. Data is presented as simple text output rather than a chart.

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

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