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Scatter Plot Test

✓ Published1🌍 Public
Wweird_danger
Last edited Sep 7, 2024
Created on Sep 7, 2024

This scatter plot visualizes the ten most populous countries, with population values plotted along the x-axis against a categorical y-axis of country names. Using D3.js, it employs `scaleLinear` for the population axis and `scalePoint` for the categorical positioning, with data loaded via `csv('data.csv')`. The chart’s grid lines extend across the plot from axis ticks, and labels are formatted to display billions. The source data is a custom CSV listing countries and their populations, rendered as an SVG with a circular mark for each country.

AI-generated description

The Penguins Dataset, loaded and parsed as CSV.

Fork and modify this template to import your data to VizHub and export it for use in other vizzes! To do that:

  • Fork this viz
  • Clear out the README
  • Update the README with details about your dataset (including original source)
  • Replace data.csv with your own data
  • Replace the parsing logic in index.js with your own
  • Set the custom URL so you can import from it easily

Challenge

  • Find 3 datasets on a topic you are interested in
  • For each of those, fork this viz and replace the data
  • Parse the quantitative attributes into numbers
  • Update README.md to indicate the original data source
MIT Licensed

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