{"version":"1.0","type":"rich","title":"Gist 0209230b938c1ed21fc2","description":"This example visualizes the relationship between electricity prices and renewable energy adoption across 28 European countries using data from 2013–2014. It plots each country as a point on a scatterplot, encoding electricity prices on the x-axis and the share of renewable energy in gross final consumption on the y-axis, with point color and size determined by additional metrics like transport fuel renewables and energy dependence. The visualization uses d3.forceSimulation to position labels and nodes, d3.scaleLinear for axis mapping, and d3.axisBottom/axisLeft for axes. The underlying data is loaded from a CSV file via d3.csv, and the rendering relies on SVG paths and circles.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-0209230b938c1ed21fc2?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}