Reldens

Fork of Reldens

This example visualizes Relatedness Density across Swiss NUTS2 regions using a choropleth map. It employs the eurostat-map library to render the geographic boundaries as SVG, with a sequential color scale created via d3.scaleSequential and d3.interpolateYlGnBu to encode data values. The map uses threshold-based classification with specific cutoffs, and includes a legend and tooltips. The visualization also provides a button to download the rendered SVG, and adapts its layout and legend position based on viewport width.

92% match

CMS Tech Share

This visualization maps the share of dependent live-chat traffic across Swiss NUTS-2 regions, using a sequential color scale built with `d3.scaleSequential` and `d3.interpolateRdPu`. The choropleth is rendered as SVG via the `eurostat-map` library, which loads CSV data from a GitHub gist and applies threshold-based classification. A custom arrow annotation and text label are appended to the SVG using `d3.select` and `svg.append`, drawing attention to a specific region. Users can download the resulting map as an SVG file through a button-triggered `XMLSerializer` export.

78% match

TRY COMPLEX

This map of Switzerland displays the normalized "Digital Complexity" across NUTS-2 regions, using a color gradient from the d3-scale-chromatic `d3.interpolatePlasma` scale. The eurostat-map library generates the SVG, with a threshold classification method and custom legend. The code also includes a button to download the rendered SVG, and the visualization adapts its layout and tooltip settings for smaller screens using responsive JavaScript conditions. The data is loaded from a CSV file stored on GitHub.

EEduardo Hernández Rodríguez

CO2

This example displays total greenhouse gas emissions across Swiss NUTS2 regions on a choropleth map, using the eurostatmap library. The visualization color-codes regions with a sequential RdYlBu scale, employing a threshold classification method to bin emission values into distinct color intervals. The map is rendered as SVG and built with React, integrating d3-color and d3-scale-chromatic for color interpolation. It includes a legend showing emission ranges, tooltips, and a button to download the resulting SVG, with responsive layout adjustments for smaller screens.

CMS Tech Share

This example shows the share of dependent individuals using live-chat technology across Swiss NUTS-2 regions, with a sequential RdPu color scale and threshold-based classification. It uses the `eurostat-map` library, D3 modules (`d3-scale`, `d3-scale-chromatic`, `d3-interpolate`), and a custom download button that serializes the rendered SVG via `XMLSerializer`. The map includes a legend, tooltips, and responsive adjustments for smaller screens.

complexity thesis

This interactive choropleth map displays digital complexity across Swiss NUTS2 regions using threshold-based classification. Built with the `eurostat-map` React library and rendered as SVG, it visualizes normalized complexity values from a CSV file, with a "DIGITAL COMPLEXITY" legend. The map includes insets for larger screens and a download button that serializes the SVG to a file via `XMLSerializer`, while responsive settings adjust legend and tooltip sizes for smaller devices.

Fork of Fork of Productivity-Complexity thesis

This example displays a bivariate choropleth map of European NUTS2 regions, visualizing the relationship between digital complexity and productivity. The map uses a custom color scale with eight classes, blending `d3.interpolatePuBuGn` for one variable and `d3.interpolateRdYlBu` for the other, with thresholds applied to categorize data. It is rendered as an SVG using the `eurostat-map` library, which loads CSV data from a GitHub gist. The visualization includes an interactive legend and a download button that serializes the SVG to a file via `XMLSerializer`.

74% match