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Last edited Oct 29, 2019

Created on Oct 29, 2019

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This example visualizes Swedish municipal statistics, plotting the relationship between local tax rates and average income, with circle size encoding mean age. The scatterplot uses d3.scaleLinear for x- and y-axes and a third scale for bubble radius, rendered as SVG circles with axis ticks from d3.axisBottom and d3.axisLeft. A dropdown menu, built with a custom dropdownMenu function, offers three options though the selection is not connected to the data. Data is loaded from a CSV file using d3.csv, with numeric fields parsed for scaling.

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This visualization displays Swedish municipal data as a scatterplot, plotting municipal tax rate on the x-axis against average income on the y-axis. Circle size encodes average age across the population. The code uses d3.csv to load the data, d3.scaleLinear for all three axes, and d3.axisBottom and d3.axisLeft for the chart’s gridlines and labels. A dropdown menu, built with a custom dropdownMenu function, is also included in the interface. The visualization renders as SVG circles with a steelblue fill and white stroke.

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A scatterplot of Swedish municipalities shows the relationship between municipal tax rate and average income, with circle size encoding mean age. Each point represents a municipality, colored in semi-transparent steel blue over a white stroke. The visualization uses d3.scaleLinear for x, y, and radius scales, d3.axisBottom and d3.axisLeft for gridlines, and SVG circles rendered from data parsed from a local CSV file. A dropdown menu, powered by a custom dropdownMenu function, is present but currently offers only placeholder options.

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