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D3.js author driven viz

✓ Published0🌍 Public
Aadry34160
Last edited Feb 9, 2017
Created on Feb 9, 2017

This visualization plots World Cup match attendance from 1934 onward as a scatterplot, with date on the x-axis and attendance on the y-axis. Each circle represents a match, with red and enlarged circles indicating games where the host nation was one of the competing teams, while blue smaller circles represent all other matches. The chart includes a legend distinguishing home-team games from others, along with labeled axes. Data is loaded from a TSV file and rendered using D3.js for the SVG layout and scales, while dimple.js is loaded but not used for the chart construction. The visualization highlights attendance patterns over time and emphasizes matches involving the host country.

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mit Licensed

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Mercator Map with Bubbles

This visualization displays World Cup match attendance on a Mercator projection world map. The geographic outlines are rendered as SVG paths from a GeoJSON file, with each country filled in light blue. Attendance data from a TSV file is grouped by year, and for each year, the geographic coordinates of host cities are averaged to determine a central point. The total attendance for that year is then represented as an orange bubble, with its radius scaled using a square-root scale proportional to attendance. Bubbles are semi-transparent with black strokes, allowing viewers to compare attendance across World Cup years at a glance. The visualization uses a fixed map scale and translates the projection to center the map within the SVG canvas. Data is loaded asynchronously using D3 v3, with geographic boundaries drawn from a GeoJSON world map and attendance values parsed from a tab-separated file. The bubble positions are calculated as the mean projected coordinates of the host cities for each tournament year.Mercator Map with Bubbles is an SVG-based D3 visualization that combines a light-blue Mercator world map with orange, semi-transparent bubbles. Each bubble represents total attendance for a World Cup tournament year, positioned at the average coordinates of the host cities. Bubble size is scaled by the square root of attendance, allowing quick comparison of relative magnitudes across tournaments. The map is rendered using D3 v3 and data from a GeoJSON world map and a TSV of World Cup attendance.

Aadry34160
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