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Vega Lite Zodiac Donut Chart https://bl.ocks.org/betafcc/369e2a5cd6849d67134a393ce4972065
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| [ | |
| {"sign":"Aries","count":2328,"sum_of_votes":39017358}, | |
| {"sign":"Taurus","count":2281,"sum_of_votes":51056695}, | |
| {"sign":"Gemini","count":2301,"sum_of_votes":42472945}, | |
| {"sign":"Cancer","count":2230,"sum_of_votes":41106817}, | |
| {"sign":"Leo","count":2297,"sum_of_votes":35133564}, | |
| {"sign":"Virgo","count":2287,"sum_of_votes":26846077}, | |
| {"sign":"Libra","count":2292,"sum_of_votes":41968051}, | |
| {"sign":"Scorpio","count":2167,"sum_of_votes":56140744}, | |
| {"sign":"Sagittarius","count":2019,"sum_of_votes":32702931}, | |
| {"sign":"Capricorn","count":2033,"sum_of_votes":26875115}, | |
| {"sign":"Aquarius","count":2058,"sum_of_votes":61465912}, | |
| {"sign":"Pisces","count":2172,"sum_of_votes":101108395} | |
| ] |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="viewport" content="width=device-width"> | |
| <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vega-embed/3.23.1/vega-embed.min.css" /> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/vega/4.3.0/vega.min.js"></script> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/vega-lite/2.6.0/vega-lite.min.js"></script> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/vega-embed/3.24.1/vega-embed.min.js"></script> | |
| </head> | |
| <body> | |
| <div id="vis"></div> | |
| <script src="util.js"></script> | |
| <script>(async () => { | |
| const data = (await (await fetch('./data.json')).json()).map((el, i) => ({...el, symbol: '♈♉♊♋♌♍♎♏♐♑♒♓'[i]})) | |
| const values = features({data, column: 'sum_of_votes'}) | |
| let config = { | |
| radius: 200, | |
| background: '#F3E9E4', | |
| pallete: ['#D2475E', '#E18A1F', '#EEE31C', '#70C2B9'], | |
| } | |
| config = { | |
| ...config, | |
| innerRadius: config.radius * 4 / 5, | |
| strokeWidth: 5, | |
| colorAxis: { | |
| field: 'sign', | |
| type: 'nominal', | |
| sort: null, | |
| legend: null, | |
| scale: {range: config.pallete}, | |
| }, | |
| textScale: {domain: [-config.radius, config.radius], nice: false}, | |
| } | |
| config.textSize = (config.radius - config.innerRadius) / 2 | |
| config.textRadius = (config.radius + config.innerRadius) / 2 - 2 | |
| config.tooltip = [ | |
| {field: 'sign', type: 'nominal', title: 'Signo'}, | |
| {field: 'count', type: 'quantitative', title: 'Número de candidatos'}, | |
| {field: 'sum_of_votes', type: 'quantitative', title: 'Total de votos', format: ','}, | |
| ] | |
| const spec = { | |
| background: config.background, | |
| data: {values}, | |
| config: {view: {stroke: ''}, axis: {domainColor: null, tickColor: null}}, | |
| // layer: [{}], | |
| hconcat: [ | |
| { | |
| width: config.radius * 2, | |
| height: config.radius * 2, | |
| layer: [ | |
| { | |
| mark: {type: 'geoshape', stroke: config.background, strokeWidth: 5}, | |
| projection: {type: 'azimuthalEquidistant', rotate: [0, 90, 0]}, | |
| encoding: { | |
| tooltip: config.tooltip, | |
| color: config.colorAxis, | |
| } | |
| }, | |
| { | |
| data: {values: [{}]}, | |
| mark: 'circle', | |
| encoding: { | |
| color: {value: config.background}, | |
| size: {value: (config.innerRadius * 2) ** 2}, | |
| opacity: {value: 1}, | |
| } | |
| }, | |
| { | |
| mark: {type: 'text', size: config.textSize, baseline: 'middle', align: 'center', color: 'white'}, | |
| transform: [{ | |
| as: 'x', | |
| calculate: `${config.textRadius} * sin((PI / 180) * (datum.geometry.coordinates[0][1][0] + datum.geometry.coordinates[0][2][0]) / 2)` | |
| }, { | |
| as: 'y', | |
| calculate: `${config.textRadius} * cos((PI / 180) * (datum.geometry.coordinates[0][1][0] + datum.geometry.coordinates[0][2][0]) / 2)` | |
| }], | |
| encoding: { | |
| x: {field: 'x', type: 'quantitative', scale: config.textScale, axis: null}, | |
| y: {field: 'y', type: 'quantitative', scale: config.textScale, axis: null}, | |
| text: {field: 'symbol', type: 'nominal'}, | |
| } | |
| } | |
| ], | |
| }, | |
| { | |
| mark: 'bar', | |
| width: config.radius * 2, | |
| height: config.radius * 2, | |
| encoding: { | |
| color: config.colorAxis, | |
| x: {field: 'sum_of_votes', type: 'quantitative', title: null, axis: {grid: false, tickCount: 0}}, | |
| y: {field: 'sign', type: 'nominal', title: null, sort: {field: 'sum_of_votes', op: 'mean', order: 'descending'}}, | |
| tooltip: config.tooltip, | |
| } | |
| } | |
| ], | |
| } | |
| vegaEmbed('#vis', spec, {defaultStyle: true, renderer: 'svg'}) | |
| })();</script> | |
| </body> | |
| </html> |
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| const features = ({data: [...rows], column}) => | |
| geometries(rows.map(r => r[column])) | |
| .map((el, i) => ({ | |
| ...rows[i], | |
| type: 'Feature', | |
| geometry: el | |
| })) | |
| const geometries = ([...xs]) => | |
| xs | |
| // map to angles | |
| .map(linearScale({ | |
| domain: [0, xs.reduce((a, b) => a + b)], | |
| range: [0, 360], | |
| })) | |
| // cumulative sum | |
| .reduce((acc, n, i) => acc.concat(acc[i] + n), [0]) | |
| // take pairs | |
| .reduce((acc, n, i, arr) => [...acc, [arr[i - 1], n]], []).slice(1) | |
| // to geojson geometry | |
| .map(([startAngle, endAngle]) => ({ | |
| type: 'Polygon', | |
| coordinates: [[ | |
| [0, 90], | |
| [endAngle, -89], | |
| [startAngle, -89], | |
| [0, 90], | |
| ]] | |
| })) | |
| const linearScale = ({domain: [xi, xf], range: [yi, yf]}) => { | |
| const a = (yi - yf) / (xi - xf) | |
| const b = yi - a * xi | |
| return x => a * x + b | |
| } |
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