playing with space, shape, colour & composition
// image of output from visuals created below
diagrammaticWritingVisDist = FileAttachment("diagrammatic-writing-vis-dist.jpg").image()
data = new Map( [
['space', [
x(1, 1), x(3, 2), x(4, 3), x(5, 1), x(7, 1), x(8, 1), x(10, 1), x(11, 8),
x(12, 7), x(12, 2, 'worldspace'),x(12, 1, 'wordspace'),
// '…from falling into the surrounding worldspace. White space differentiates wordspace from worldspace'
x(14, 4), x(15, 3), x(16, 1), x(18, 2), x(19, 6), x(20, 4), x(21, 2), x(22, 1), x(23, 5),
x(24, 3), x(25, 1), x(26, 1), x(27, 2), x(28, 1), x(29, 3),
x(31, 1), x(31, 1, 'worldspace'),x(31, 1, 'wordspace'),
]],
['gutter', [
x(12, 1), x(18, 1), x(23, 2), x(25, 1), x(30, 1)
]],
['text', [
x(3, 1), x(4, 1), x(7, 7), x(8, 8), x(9, 2), x(11, 2), x(12, 2), x(13, 3), x(14, 3), x(15, 15)
,x(16, 1), x(17, 13), x(18, 6), x(19, 5), x(21, 5), x(22, 5), x(23, 5),x(24, 7),
x(25, 4), x(26, 6), x(27, 5), x(29, 3), x(30, 1), x(31, 2)
]],
['paratext', [
x(30, 1), x(11, 2)
]],
['textual', [
x(17, 2), x(20, 1),x(21, 1), x(22, 2), x(23, 1), x(25, 1)
]],
['intertextual', [
x(25, 1)
]],
['dialogue', [
x(8, 1), x(17, 1), x(18, 1), x(20, 2), x(23, 1), x(25, 10), x(28, 1), x(30, 1),
]],
['discourse', [
x(7, 1), x(16, 2), x(18, 2), x(20, 2), x(23, 1), x(24, 2)
]],
['play', [
x(9, 1), x(11, 2), x(16, 2), x(17, 1), x(25, 1), x(27, 1), x(28, 1)
]],
])
data
// view summary of data
summaryView = data.get(selectWord).map(array => {
const page = array[0]; // all same number
const amount = array.length;
return {
page: page,
count: amount
}
})
summaryView
Type Table, then Shift-Enter. Ctrl-space for more options.
createArray(data, selectWord).filter(d => d.value === selectPage)
dataKeys = [ ...data.keys()]
viewof bins = Inputs.range([2, 35], {label: "Bins", step: 1, value: 5})
Plot.plot({
marks: [
Plot.rectY(createArray(data, selectWord), Plot.binX({y: "count"}, {x: {thresholds: bins -1, value: "value"}})),
Plot.ruleY([0])
]
})
// create a function to create an array of the counts
// use this as a visual representation of the words per page for ease of checking
// page and how many times it repeats
function x (page, count, word) { // use word as a mark to if it differs
const array = d3.range(count).map(d => page);
// return an array of the same numbers representing the counts on the book page
// i.e. [4, 4, 4, 4, 4] // shows on page 4, five times
return [...array];
}
Select a data source…
Type Chart, then Shift-Enter. Ctrl-space for more options.
createArray = function(data, string) {
const array = _.flattenDeep(data.get(string)).map(d => {
return {
label: string,
value: d
}
});
return array;
}
createArray(data, 'space')
beeSwarm(createArray(data, 'space'))
beeSwarm(createArray(data, 'gutter'), {
height: 100
})
spaceData = createArray(data, 'space').concat(createArray(data, 'gutter'))
// combine space and gutter
beeSwarm(spaceData, {
height: 150,
words: ['gutter'] // colour the gutter words
})
beeSwarm(spaceData, {
height: 250,
words: ['paratext', 'textual', 'intertextual'],
radius: 8,
letter: 'S',
words: ['gutter'],
circle: false
})
beeSwarm(createArray(data, 'text'), {
height: 200,
words: ['textual']
})
textData = createArray(data, 'text').concat(
createArray(data, 'paratext'),
createArray(data, 'textual'),
createArray(data, 'intertextual')
)
beeSwarm(textData, {
height: 200,
words: ['paratext', 'textual', 'intertextual']
})
beeSwarm(textData, {
height: 320,
words: ['paratext', 'textual', 'intertextual'],
radius: 8,
letter: 'T',
circle: false
})
dialogueData = createArray(data, 'dialogue').concat(
createArray(data, 'play'),
createArray(data, 'discourse')
)
beeSwarm(dialogueData, {
height: 200,
words: ['play', 'discourse']
})
beeSwarm(dialogueData, {
height: 250,
words: ['play', 'discourse'],
radius: 8,
letter: 'D',
circle: false
})
Plot.plot({
r: {range: [0, 14]},
marks: [
Plot.dot(dialogueData, Plot.binX({r: "count"}, {x: "value"}))
]
})
// using this one for design layout — no data meaning
beeSwarm(
d3.range(-4, 33).map(d => {return {value: d, label: d}}), {
height: 50,
fillCircleDefault: 'yellow'
})
function beeSwarm (data, { // https://observablehq.com/@d3/beeswarm/2
width = 928,
height = 150,
words = [], // ['word1', 'word2'] // have a way of colouring differing words
fillCircle = ['#e4bd0b', '#de3d83', '#0098d8'],
marginTop = 20,
marginRight = 20,
marginBottom = 20,
marginLeft = 20,
radius = 4,
fontSize = 16,
padding = 1.5,
xDomain = [-4, 32],
fillCircleDefault = '#000',
letter = null, // show a letter, the pass in one 'a',
circle = true // boolean to render a circle
} = {}) {
// get unique values for ticks
const tickValues = _.uniq(data.map(d => d.value))
const x = d3.scaleLinear()
.domain(xDomain)
.range([marginLeft, width - marginRight]);
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
.attr("viewBox", [0, 0, width, height])
.attr("style", "max-width: 100%; height: auto;");
svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0).tickValues(tickValues));
if (circle) {
svg.append("g")
.selectAll()
.data(dodge(data, {radius: radius * 2 + padding, x: d => x(d.value)}))
.join("circle")
.attr("cx", d => d.x)
.attr("cy", d => height - marginBottom - radius - padding - d.y)
.attr("r", radius)
.attr('fill', d => {
console.log('word', d.data.label)
if (_.includes(words, d.data.label)) {
console.log('word index', _.indexOf(words, d.data.label));
console.log('fill', fillCircle[_.indexOf(words, d.data.label)])
return fillCircle[_.indexOf(words, d.data.label)];
} else {
return fillCircleDefault;
}
})
.append("title")
.text(d => d.label);
}
if (letter) {
svg.append("g")
.selectAll()
.data(dodge(data, {radius: radius * 2 + padding, x: d => x(d.value)}))
.join("text")
.attr("x", d => d.x)
.attr("y", d => height - marginBottom - radius - padding - d.y)
.attr('dx', -5)
.attr("font-size", fontSize)
.attr("font-weight", 600)
.attr('fill', d => {
console.log('word', d.data.label)
if (_.includes(words, d.data.label)) {
console.log('word index', _.indexOf(words, d.data.label));
console.log('fill', fillCircle[_.indexOf(words, d.data.label)])
return fillCircle[_.indexOf(words, d.data.label)];
} else {
return '#000';
}
})
.text(letter);
}
return svg.node();
}
dialogueData
beeSwarmAltText(dialogueData)
function beeSwarmAltText (data, {
letter = 'A',
pause = '-',
change = '|',
xDomain = [-4, 32]
} = {}) {
const pages = data.map(d => d.value);
const baseAxis = d3.range(xDomain[0], xDomain[1]);
const output = baseAxis.map(d => {
const x = _.includes(pages, d) ? null : `${change} ${pause} `;
return {
label: d,
value: (x === null) ? `${change} ${pages.filter(page => page === d).map(() => letter).join("")} ` : x
}
})
return output.map(d => d.value).join("");
}
import {dodge} from "@d3/beeswarm/2"
<hr>
<link href="https://fonts.googleapis.com/css?family=Space+Mono" rel="stylesheet">
<link href="https://unpkg.com/basscss@8.0.2/css/basscss.min.css" rel="stylesheet">
<style>
text {
font-family:'Space Mono',monospace;
}
</style>
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
