sample 2

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✓ Published0🌍 Public

Last edited Apr 24, 2024

Created on Apr 24, 2024

This scatter plot visualizes global warming trends by plotting annual temperature anomalies against years. The code loads a CSV dataset from a GitHub repository, converts the year and temperature strings to numbers, and renders them as semi-transparent steelblue circles. It uses D3 v7’s `scaleLinear`, `d3.extent`, `d3.axisBottom`, and `d3.axisLeft` to map data to SVG coordinates and draw axes. The resulting chart highlights the relationship between time and temperature change, with labeled axes for year and temperature in degrees Celsius.

AI-generated description

An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

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