World Population

100%

World Population

✓ Published1🌍 Public

Last edited Jan 29, 2024

Created on Jan 29, 2024

This example displays the first row of a world population dataset as a formatted JSON object in monospace text. It uses population statistics from the Socioeconomic Data and Applications Center, covering decades from 1970 through 2022 alongside geographic attributes like continent, area, and density. The code loads the CSV data through an import statement, converts all numeric fields to JavaScript numbers, and renders the output using a template literal with a preformatted text element. The visualization presents raw data without additional charting libraries, focusing on exposing the dataset structure for inspection.

AI-generated description

[Data from the Socioeconomic Data and Applications Center][https://sedac.ciesin.columbia.edu/data/set/pend-gdis-1960-2018/data-download] cleaned/normalized using Python, exported to csv, loaded and parsed as csv

Tasks:

I'd like to be able use this data to see if there are correlations between population centers and their effects on climate change.

MIT Licensed

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