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Loding and Parsing GDP and GDP per capita

✓ Published1🌍 Public
Rrohame
Last edited Sep 2, 2019
Created on Sep 2, 2019

This example demonstrates the initial steps of working with GDP and GDP per capita data from UNDATA, displaying basic dataset statistics such as row count, column count, and file size in a large text format. The page loads a CSV file from a GitHub gist using D3 v5’s `d3.csv` method, then computes the metrics with `data.length`, `data.columns.length`, and `d3.csvFormat` to measure the formatted size. A commented-out alternative using `fetch` with `async`/`await` and `d3.csvParse` is also provided. The visualization focuses on data loading and parsing rather than graphical representation.

AI-generated description

GDP and GDP Per Capita

Data Source: UNDATA, CSV file

Good question and tasks

Find the distribution of the world's wealth.

Find the most wealthy region.

Find the regions whose GDP grow rapidly.

Types of attributes

Region.Country.Area and Series are categorical.

year and Value are quantitative.

MIT Licensed

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