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Scatter plot with menus
This interactive scatter plot explores correlations among attributes in a WHO air pollution dataset, using dropdown menus to select x-axis, y-axis, and color-encoding variables for each city. The visualization updates with animated transitions as users change selections, employing D3 scales, axes, and transitions. Color legends and axis labels adapt dynamically, with rendering via SVG. The underlying data comes from the WHO Global Urban Ambient Air Pollution Database, measuring PM2.5 and PM10 levels across global cities.
AI-generated descriptionThis dataset is about the outdoor air condition in different cities around the world. It originally comes from WHO Global Urban Ambient Air Pollution Database (See Gits).The measurement of pollution includes PM2.5 and PM10.
According to the plot we can find the correlations between different attributes.