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World Population

✓ Published0🌍 Public
Ppadmeshnaik22@gmail.com
Last edited Jan 23, 2024
Created on Jan 23, 2024

This example displays the first record of the World Population dataset as a JSON object in a preformatted text block, with a font size of 36 pixels. The code loads the CSV data using an import statement, converts population and area fields to numbers, and passes the first data entry to `JSON.stringify` for indented rendering. It directly outputs the parsed data structure to the container, demonstrating the dataset’s schema without additional visualization.

AI-generated description

The World Population Dataset, loaded and parsed as CSV.

We can perform the following analysis on this dataset:

Investigate the growth rates of populations in different countries and continents over the years.

Compare the population trends of the most populous countries (like India and China) with less populous ones.

Examine the correlation between population growth rate and factors like area, density, or continent.

MIT Licensed

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