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SSmulgumman
Last edited Oct 25, 2019
Created on Oct 25, 2019
Forked from Infovis

This scatterplot uses Swedish municipal data to reveal relationships between local tax rates, average income, and mean age. Each circle represents a municipality, positioned by tax rate and income, with its radius encoding average age. The visualization uses D3 v5's `scaleLinear`, `axisBottom`, and `axisLeft` to construct the chart from the CSV data, rendered as SVG. A dropdown menu component is also included, though its options are not yet connected to interactive filtering.

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This scatterplot displays Swedish municipal statistics, plotting municipal tax rate against average income, with circle size encoding mean age and color representing municipalities. Users can interact with a dropdown menu to switch between different data attributes. The visualization uses D3 v5 with SVG rendering, employing d3.scaleLinear for axes and circle sizing, d3.axisBottom and d3.axisLeft for gridlines, and d3.csv to load the dataset. Circle opacity and styling are set via CSS.

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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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This visualization shows the relationship between municipal tax rates and average income across Swedish municipalities, with circle size encoding the median age of each municipality’s population. The scatterplot uses `d3.scaleLinear` for the x and y axes, `d3.axisBottom` and `d3.axisLeft` for grid lines, and `d3.svg` for rendering circles. Data is loaded from a CSV file containing demographic and economic metrics for each region.

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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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A horizontal bar chart shows municipal income tax rates across Swedish regions, sorted by region name. The chart uses D3 v5 with a scaleLinear for the x-axis and scaleBand for the y-axis, rendering SVG rectangles whose widths encode each region's tax percentage. Data is loaded from a CSV file containing regional statistics, with axes generated via axisBottom and axisLeft.

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A horizontal bar chart shows municipal income tax rates across Swedish regions, sorted by region name. The chart uses D3 v5 with a scaleLinear for the x-axis and scaleBand for the y-axis, rendering SVG rectangles whose widths encode each region's tax percentage. Data is loaded from a CSV file containing regional statistics, with axes generated via axisBottom and axisLeft.

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This visualization displays statistics for Swedish municipalities, showing each region’s communal tax rate as a bar chart. The bars are sized with `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis. Data is loaded from a CSV file and parsed with d3.csv. The SVG is populated with rectangles for each region, rendered using d3 v5.

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